DGtal 1.3.0

CDGtal::LabelledMap< TData, L, TWord, N, M >::__AnyBlock  
CDGtal::LabelledMap< TData, L, TWord, N, M >::__FirstBlock  
CDGtal::functors::Abs< T >  
Cboost::AdaptableBinaryFunction< Func, First, Second >  Go to http://www.sgi.com/tech/stl/AdaptableBinaryFunction.html 
Cboost::AdaptableBinaryPredicate< Func, First, Second >  Go to http://www.sgi.com/tech/stl/AdaptableBinaryPredicate.html 
Cboost::AdaptableGenerator< Func, Return >  Go to http://www.sgi.com/tech/stl/AdaptableGenerator.html 
Cboost::AdaptablePredicate< Func, Arg >  Go to http://www.sgi.com/tech/stl/AdaptablePredicate.html 
Cboost::AdaptableUnaryFunction< Func, Return, Arg >  Go to http://www.sgi.com/tech/stl/AdaptableUnaryFunction.html 
►Cadjacency_graph_tag  
Cboost::AdjacencyGraphConcept< G >  Go to http://www.boost.org/doc/libs/1_52_0/libs/graph/doc/AdjacencyGraph.html 
CDGtal::Alias< T >  Aim: This class encapsulates its parameter class so that to indicate to the user that the object/pointer will be only aliased. Therefore the user is reminded that the argument parameter is given to the function without any additional cost and may be modified, while he is aware that the lifetime of the argument parameter must be at least as long as the object itself. Note that an instance of Alias<T> is itself a light object (it holds only an enum and a pointer) 
CDGtal::AlphaThickSegmentComputer< TInputPoint, TConstIterator >  Aim: This class is devoted to the recognition of alpha thick segments as described in [49] . From a maximal diagonal alphaMax thickness, it recognizes thick segments and may thus take into account some noise in the input contour. Moreover points of the segment may not be (digitally) connected and may have floating point coordinates. Connection is only given by the order of the points 
CDGtal::functors::AndBoolFct2  
CDGtal::AngleComputer  
►CDGtal::AngleLinearMinimizer  Aim: Used to minimize the angle variation between different angles while taking into accounts min and max constraints. Example ( 
CDGtal::IndexedListWithBlocks< TValue, N, M >::AnyBlock  
CDGtal::DigitalSurface< TDigitalSurfaceContainer >::Arc  
CDGtal::ArithDSSIterator< TInteger, connectivity >  Aim: An iterator on the points of a Digital Straight Segment. Template parameters are the integer type and the connectivity of the DSS (8connectivity as default value) 
►CDGtal::ArithmeticalDSL< TCoordinate, TInteger, adjacency >  Aim: This class represents a naive (resp. standard) digital straight line (DSL), ie. the set of digital points \( (x,y) \in \mathbb{Z}^2 \) such that \( \mu \leq ax  by < \mu + \omega \) with \( a,b,\mu,\omega \in \mathbb{Z} \), \( \gcd(a,b) = 1 \) and \( \omega = \max(a,b) \) (resp. \( \omega = a + b \)). Note that any DSL such that \( \omega = \max(a,b) \) (resp. \( \omega = a + b \)) is simply 8connected (resp. 4connected) 
CDGtal::ArithmeticalDSL< Coordinate, Integer, 8 >  
CDGtal::ArithmeticalDSL< Coordinate, Integer, adjacency >  
CDGtal::ArithmeticalDSL< TCoordinate, TCoordinate, 4 >  
CDGtal::ArithmeticalDSL< TCoordinate, TCoordinate, 8 >  
CDGtal::ArithmeticalDSLKernel< TCoordinate, adjacency >  Aim: Small class that contains the code that depends on the arithmetical thickness (either naive or standard) of a digital straight line (DSL). It provides mainly two static methods: 
CDGtal::ArithmeticalDSLKernel< TCoordinate, 4 >  
►CDGtal::ArithmeticalDSS< TCoordinate, TInteger, adjacency >  Aim: This class represents a naive (resp. standard) digital straight segment (DSS), ie. the sequence of simply 8 (resp. 4)connected digital points contained in a naive (resp. standard) digital straight line (DSL) between two points of it 
CDGtal::ArithmeticalDSS< Coordinate, Integer, 8 >  
CDGtal::ArithmeticalDSS< Coordinate, Integer, adjacency >  
CDGtal::ArithmeticalDSS< TCoordinate, TCoordinate, 4 >  
CDGtal::ArithmeticalDSS< TCoordinate, TCoordinate, 8 >  
CDGtal::ArithmeticalDSSComputer< TIterator, TInteger, adjacency >  Aim: This class is a wrapper around ArithmeticalDSS that is devoted to the dynamic recognition of digital straight segments (DSS) along any sequence of digital points 
CDGtal::ArithmeticalDSSComputer< IteratorAdapter, TInteger, 8 >  
CDGtal::ArithmeticalDSSComputer< IteratorAdapter, TInteger, connectivity >  
CDGtal::ArithmeticalDSSComputer< std::vector< Z2i::Point >::const_iterator, int, 4 >  
CDGtal::ArithmeticalDSSComputerOnSurfels< TKSpace, TIterator, TInteger, adjacency >  Aim: This class is a wrapper around ArithmeticalDSS that is devoted to the dynamic recognition of digital straight segments (DSS) along any sequence of 3D surfels 
CDGtal::ArithmeticalDSSFactory< TCoordinate, TInteger, adjacency >  Aim: Set of static methods that create digital straight segments (DSS) from some input parameters, eg. patterns (or reversed patterns) from two upper leaning points (or lower leaning points) 
CDGtal::ArithmeticConversionTraits< T, U, Enable >  Aim: Trait class to get result type of arithmetic binary operators between two given types 
CDGtal::ArithmeticConversionTraits< __gmp_expr< GMP1, GMP2 >, U, typename std::enable_if< std::is_integral< U >::value >::type >  Specialization when second operand is a BigInteger 
CDGtal::ArithmeticConversionTraits< __gmp_expr< GMPL1, GMPL2 >, __gmp_expr< GMPR1, GMPR2 > >  Specialization when both operands are BigInteger 
CDGtal::ArithmeticConversionTraits< LeftEuclideanRing, PointVector< dim, RightEuclideanRing, RightContainer >, typename std::enable_if< IsArithmeticConversionValid< LeftEuclideanRing, RightEuclideanRing >::value &&! IsAPointVector< LeftEuclideanRing >::value >::type >  Specialization of ArithmeticConversionTraits when right operand is a PointVector 
CDGtal::ArithmeticConversionTraits< PointVector< dim, LeftEuclideanRing, LeftContainer >, PointVector< dim, RightEuclideanRing, RightContainer >, typename std::enable_if< IsArithmeticConversionValid< LeftEuclideanRing, RightEuclideanRing >::value >::type >  Specialization of ArithmeticConversionTraits when both operands are PointVector 
CDGtal::ArithmeticConversionTraits< PointVector< dim, LeftEuclideanRing, LeftContainer >, RightEuclideanRing, typename std::enable_if< IsArithmeticConversionValid< LeftEuclideanRing, RightEuclideanRing >::value &&! IsAPointVector< RightEuclideanRing >::value >::type >  Specialization of ArithmeticConversionTraits when left operand is a PointVector 
►CDGtal::ArithmeticConversionTraits< std::remove_cv< std::remove_reference< T >::type >::type, std::remove_cv< std::remove_reference< U >::type >::type >  
CDGtal::ArithmeticConversionTraits< T, __gmp_expr< GMP1, GMP2 >, typename std::enable_if< std::is_integral< T >::value >::type >  Specialization when first operand is a BigInteger 
CDGtal::ArithmeticConversionTraits< T, U, typename std::enable_if< std::is_arithmetic< T >::value &&std::is_arithmetic< U >::value >::type >  Specialization for (fundamental) arithmetic types 
►Cboost::Assignable< T >  Go to http://www.sgi.com/tech/stl/Assignable.html 
Cboost::Assignable< I >  
►Cboost::Assignable< X >  
Cboost::AssociativeContainer< C >  Go to http://www.sgi.com/tech/stl/AssociativeContainer.html 
CDGtal::ATSolver2D< TKSpace, TLinearAlgebra >  Aim: This class solves AmbrosioTortorelli functional on a twodimensional digital space (a 2D grid or 2D digital surface) for a piecewise smooth scalar/vector function u represented as one/several 2form(s) and a discontinuity function v represented as a 0form. The 2form(s) u is a regularized approximation of an input vector data g, while v represents the set of discontinuities of u. The norm chosen for u is the \( l_2 \)norm 
CDGtal::DicomReader< TImageContainer, TFunctor >::Aux< Image, Domain, OutPixelType, PixelType >  
CDGtal::ITKDicomReader< TImage >::Aux< Image, Domain, OrigValue, TFunctor, Value >  
CDGtal::ITKReader< TImage >::Aux< Image, Domain, OrigValue, TFunctor, Value >  
CDGtal::DicomReader< TImageContainer, TFunctor >::Aux< ImageContainerByITKImage< Domain, OutPixelType >, Domain, OutPixelType, PixelType >  
CDGtal::ITKDicomReader< TImage >::Aux< ImageContainerByITKImage< Domain, Value >, Domain, OrigValue, TFunctor, Value >  
CDGtal::ITKReader< TImage >::Aux< ImageContainerByITKImage< Domain, Value >, Domain, OrigValue, TFunctor, Value >  
CDGtal::AvnaimEtAl2x2DetSignComputer< TInteger >  Aim: Class that provides a way of computing the sign of the determinant of a 2x2 matrix from its four coefficients, ie 
Cboost::BackInsertionSequence< C >  Go to http://www.sgi.com/tech/stl/BackInsertionSequence.html 
CDGtal::BackInsertionSequenceToStackAdapter< TSequence >  Aim: This class implements a dynamic adapter to an instance of a model of back insertion sequence in order to get a stack interface. This class is a model of CStack 
CDGtal::FrechetShortcut< TIterator, TInteger >::Backpath  
CDGtal::functors::BackwardRigidTransformation2D< TSpace, TInputValue, TOutputValue, TFunctor >  Aim: implements backward rigid transformation of point in the 2D integer space. Warring: This version uses closest neighbor interpolation 
CDGtal::functors::BackwardRigidTransformation2D< Space >  
CDGtal::functors::BackwardRigidTransformation3D< TSpace, TInputValue, TOutputValue, TFunctor >  Aim: implements backward rigid transformation of point in 3D integer space around any arbitrary axis. This implementation uses the Rodrigues' rotation formula. Warring: This version uses closest neighbor interpolation 
CDGtal::functors::BackwardRigidTransformation3D< Space >  
CDGtal::functors::BallConstantFunction< TScalar >  
CDGtal::functors::BallConstantPointFunction< TPoint, TScalar >  
CDGtal::functors::BasicDomainSubSampler< TDomain, TInteger, TValue >  Aim: Functor that subsamples an initial domain by given a grid size and a shift vector. By this way, for a given point considered in a new domain, it allows to recover the point coordinates in the source domain. Such functor can be usefull to apply basic image subsampling in any dimensions by using ImageAdapter class 
►Cboost::bidirectional_iterator_archetype  
Cboost::BidirectionalIterator< T >  Go to http://www.sgi.com/tech/stl/BidirectionalIterator.html 
CDGtal::BidirectionalSegmentComputer  
Cboost_concepts::BidirectionalTraversalConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/BidirectionalTraversal.html 
Cboost::BinaryFunction< Func, Return, First, Second >  Go to http://www.sgi.com/tech/stl/BinaryFunction.html 
CDGtal::functors::BinaryPointPredicate< TPointPredicate1, TPointPredicate2, TBinaryFunctor >  Aim: The predicate returns true when the given binary functor returns true for the two PointPredicates given at construction 
CDGtal::functors::BinaryPointPredicate< TPointPredicate1, TPointPredicate2, AndBoolFct2 >  
CDGtal::functors::BinaryPointPredicate< TPointPredicate1, TPointPredicate2, OrBoolFct2 >  
Cboost::BinaryPredicate< Func, First, Second >  Go to http://www.sgi.com/tech/stl/BinaryPredicate.html 
CDGtal::BinomialConvolver< TConstIteratorOnPoints, TValue >  Aim: This class represents a 2D contour convolved by some binomial. It computes first and second order derivatives so as to be able to estimate tangent and curvature. In particular, it smoothes digital contours but could be used for other kind of contours 
CDGtal::BinomialConvolverEstimator< TBinomialConvolver, TBinomialConvolverFunctor >  Aim: This class encapsulates a BinomialConvolver and a functor on BinomialConvolver so as to be a model of CCurveLocalGeometricEstimator 
CDGtal::Bits  
CDGtal::LabelledMap< TData, L, TWord, N, M >::BlockConstIterator  
CDGtal::LabelledMap< TData, L, TWord, N, M >::BlockIterator  
CDGtal::IndexedListWithBlocks< TValue, N, M >::BlockPointer  Forward declaration 
CDGtal::LabelledMap< TData, L, TWord, N, M >::BlockPointer  Forward declaration 
CDGtal::functors::BlueChannel  
CDGtal::concepts::Board3DTo2D< S, KS >  Aim: The concept CDrawableWithBoard3DTo2D specifies what are the classes that admit an export with Board3DTo2D 
CDGtal::details::BoolToTag< Value >  Convert a boolean to the corresponding DGtal tag (TagTrue or TagFalse) 
CDGtal::details::BoolToTag< false >  
CDGtal::functors::BoundaryPredicate< TKSpace, TImage >  Aim: The predicate on surfels that represents the frontier between a region and its complementary in an image. It can be used with ExplicitDigitalSurface or LightExplicitDigitalSurface so as to define a digital surface. Such surfaces may of course be open 
CDGtal::BoundedLatticePolytope< TSpace >  Aim: Represents an nD lattice polytope, i.e. a convex polyhedron bounded with vertices with integer coordinates, as a set of inequalities. Otherwise said, it is a Hrepresentation of a polytope (as an intersection of halfspaces). A limitation is that we model only bounded polytopes, i.e. polytopes that can be included in a finite bounding box 
CDGtal::BoundedLatticePolytopeCounter< TSpace >  Aim: Useful to compute quickly the lattice points within a polytope, i.e. a convex polyhedron 
CDGtal::detail::BoundedLatticePolytopeSpecializer< N, TInteger >  Aim: It is just a helper class for BoundedLatticePolytope to add dimension specific static methods 
CDGtal::detail::BoundedLatticePolytopeSpecializer< 3, TInteger >  Aim: 3D specialization for BoundedLatticePolytope to add dimension specific static methods 
CDGtal::BoundedRationalPolytope< TSpace >  Aim: Represents an nD rational polytope, i.e. a convex polyhedron bounded by vertices with rational coordinates, as a set of inequalities. Otherwise said, it is a Hrepresentation of a polytope (as an intersection of halfspaces). A limitation is that we model only bounded polytopes, i.e. polytopes that can be included in a finite bounding box 
CDGtal::detail::BoundedRationalPolytopeSpecializer< N, TInteger >  Aim: It is just a helper class for BoundedRationalPolytope to add dimension specific static methods 
CDGtal::detail::BoundedRationalPolytopeSpecializer< 3, TInteger >  Aim: 3D specialization for BoundedRationalPolytope to add dimension specific static methods 
CDGtal::BreadthFirstVisitor< TGraph, TMarkSet >  Aim: This class is useful to perform a breadthfirst exploration of a graph given a starting point or set (called initial core) 
►CDGtal::concepts::C3DParametricCurve< T >  Aim: 
CDGtal::CanonicCellEmbedder< TKSpace >  Aim: A trivial embedder for signed and unsigned cell, which corresponds to the canonic injection of cell centroids into Rn 
CDGtal::CanonicDigitalSurfaceEmbedder< TDigitalSurface >  Aim: A trivial embedder for digital surfaces, which corresponds to the canonic injection of cell centroids into Rn 
CDGtal::CanonicEmbedder< TSpace >  Aim: A trivial embedder for digital points, which corresponds to the canonic injection of Zn into Rn 
CDGtal::CanonicSCellEmbedder< TKSpace >  Aim: A trivial embedder for signed cell, which corresponds to the canonic injection of cell centroids into Rn 
CDGtal::CanonicSCellEmbedder< KSpace >  
CDGtal::functors::Cast< TOutput >  Aim: Define a simple functor using the static cast operator 
CDGtal::functors::Cast< unsigned int >  
►CDGtal::concepts::CBackInsertable< T >  Aim: Represents types for which a std::back_insert_iterator can be constructed with std::back_inserter. Back Insertion Sequence are refinements of CBackInsertable. They require more services than CBackInsertable, for instance read services or erase services 
CDGtal::concepts::CCellFunctor< T >  Aim: Defines a functor on cells 
CDGtal::concepts::CColorMap< CMap >  Aim: Defines the concept describing a color map. A color map converts a value within a given range into an RGB triple 
►CDGtal::concepts::CConstSinglePassRange< T >  Aim: Defines the concept describing a const single pass range 
►CDGtal::concepts::CCurveLocalGeometricEstimator< T >  Aim: This concept describes an object that can process a range so as to return one estimated quantity for each element of the range (or a given subrange) 
CDGtal::concepts::CDigitalBoundedShape< TShape >  Aim: designs the concept of bounded shapes in DGtal (shape for which upper and lower bounding bounds are available) 
CDGtal::concepts::CDigitalOrientedShape< T >  Aim: characterizes models of digital oriented shapes. For example, models should provide an orientation method for points on a SpaceND. Returned value type corresponds to DGtal::Orientation 
CDGtal::concepts::CDigitalSetArchetype< TDomain >  Aim: The archetype of a container class for storing sets of digital points within some given domain 
CDGtal::concepts::CDomainArchetype< TSpace >  Aim: The archetype of a class that represents a digital domain, i.e. a non mutable subset of points of the given digital space 
CDGtal::concepts::CDrawableWithBoard2D< T >  Aim: The concept CDrawableWithBoard2D specifies what are the classes that admit an export with Board2D 
CDGtal::concepts::CDrawableWithDisplay3D< T, Sp, KSp >  
►CDGtal::concepts::CDrawableWithDisplay3D< T, S, KS >  
CDGtal::functors::Ceil< T >  Functor that rounds up 
CDGtal::functors::Ceil< void >  Functor that rounds up 
CDGtal::CellGeometry< TKSpace >  Aim: Computes and stores sets of cells and provides methods to compute intersections of lattice and rational polytopes with cells 
CDGtal::CellGeometry< KSpace >  
CDGtal::CellGeometryFunctions< TKSpace, i, N >  
CDGtal::CellGeometryFunctions< TKSpace, 1, 2 >  
CDGtal::CellGeometryFunctions< TKSpace, 1, 3 >  
CDGtal::CellGeometryFunctions< TKSpace, 2, 2 >  
CDGtal::CellGeometryFunctions< TKSpace, 2, 3 >  
CDGtal::CellGeometryFunctions< TKSpace, 3, 3 >  
CDGtal::KhalimskyPreSpaceND< dim, TInteger >::CellMap< Value >  
CDGtal::KhalimskySpaceND< dim, TInteger >::CellMap< Value >  
CDGtal::Shortcuts< TKSpace >::CellReader  
CDGtal::Shortcuts< TKSpace >::CellWriter  
CDGtal::concepts::CEuclideanBoundedShape< TShape >  
CDGtal::concepts::CEuclideanOrientedShape< T >  Aim: characterizes models of digital oriented shapes. For example, models should provide an orientation method for real points. Returned value type corresponds to DGtal::Orientation 
CDGtal::concepts::CGlobalGeometricEstimator< T >  Aim: This concept describes an object that can process a range so as to return one estimated quantity for the whole range 
CDGtal::experimental::ChamferNorm2D< TSpace >  Aim: implements a model of CSeparableMetric for Chamfer and path based norms 
CDGtal::VoronoiCovarianceMeasure< TSpace, TSeparableMetric >::CharacteristicSetPredicate  
CDGtal::concepts::ConceptUtils::CheckFalse< T >  
CDGtal::concepts::ConceptUtils::CheckTag< T >  
CDGtal::concepts::ConceptUtils::CheckTrue< T >  
CDGtal::concepts::ConceptUtils::CheckTrue< TagTrue >  
CDGtal::concepts::ConceptUtils::CheckTrueOrFalse< T >  
CDGtal::concepts::ConceptUtils::CheckUnknown< T >  
CDGtal::concepts::ConceptUtils::CheckUnknown< TagUnknown >  
CDGtal::ChordGenericNaivePlaneComputer< TSpace, TInputPoint, TInternalScalar >  Aim: A class that recognizes pieces of digital planes of given axis width. When the width is 1, it corresponds to naive planes. Contrary to ChordNaivePlaneComputer, the axis is not specified at initialization of the object. This class uses three instances of ChordNaivePlaneComputer, one per axis 
CDGtal::ChordGenericStandardPlaneComputer< TSpace, TInputPoint, TInternalScalar >  Aim: A class that recognizes pieces of digital planes of given diagonal width. When the width is \(1 \times \sqrt{3}\), it corresponds to standard planes. Contrary to ChordStandardPlaneComputer, the axis is not specified at initialization of the object. This class uses four instances of ChordStandardPlaneComputer of axis z, by transforming points \((x,y,z)\) to \((x \pm z, y \pm z, z)\) 
CDGtal::ChordNaivePlaneComputer< TSpace, TInputPoint, TInternalScalar >  Aim: A class that contains the chordbased algorithm for recognizing pieces of digital planes of given axis width [ Gerard, DebledRennesson, Zimmermann, 2005 ]. When the width is 1, it corresponds to naive planes. The axis is specified at initialization of the object 
CDGtal::ChordNaivePlaneComputer< Space, InputPoint, InternalScalar >  
CDGtal::concepts::CImageCacheReadPolicy< T >  Aim: Defines the concept describing a cache read policy 
CDGtal::concepts::CImageCacheWritePolicy< T >  Aim: Defines the concept describing a cache write policy 
CDGtal::concepts::CImageFactory< T >  Aim: Defines the concept describing an image factory 
►CDGtal::concepts::CImplicitFunction< T >  Aim: Describes any function of the form f(x), where x is some real point in the given space, and f(x) is some value 
CDGtal::CircleFrom2Points< TPoint >  Aim: Represents a circle that passes through a given point and that is thus uniquely defined by two other points. It is able to return for any given point its signed distance to itself 
CDGtal::CircleFrom3Points< TPoint >  Aim: Represents a circle uniquely defined by three 2D points and that is able to return for any given 2D point its signed distance to itself 
CDGtal::CircleFrom3Points< Point >  
CDGtal::Circulator< TIterator >  Aim: Provides an adapter for classical iterators that can iterate through the underlying data structure as in a loop. The increment (resp. decrement) operator encapsulates the validity test and the assignement to the begin (resp. end) iterator of a given range, when the end (resp. beginning) has been reached. For instance, the preincrement operator does: 
CDGtal::CirculatorType  
CDGtal::concepts::CLinearAlgebra< V, M >  Aim: Check right multiplication between matrix and vector and internal matrix multiplication. Matrix and vector scalar types should be the same 
CDGtal::concepts::CLocalEstimatorFromSurfelFunctor< T >  Aim: this concept describes functors on digtal surface surfel which can be used to define local estimator using the adapter LocalEstimatorFromSurfelFunctorAdapter 
CDGtal::Clock  
CDGtal::Clone< T >  Aim: This class encapsulates its parameter class to indicate that the given parameter is required to be duplicated (generally, this is done to have a longer lifetime than the function itself). On one hand, the user is reminded of the possible cost of duplicating the argument parameter, while he is also aware that the lifetime of the parameter is not a problem for the function. On the other hand, the Clone class is smart enough to enforce duplication only if needed. Substantial speedup can be achieve through this mechanism 
CDGtal::ClosedIntegerHalfPlane< TSpace >  Aim: A halfspace specified by a vector N and a constant c. The halfspace is the set \( \{ P \in Z^2, N.P \le c \} \) 
CDGtal::concepts::CNormalVectorEstimator< T >  Aim: Represents the concept of estimator of normal vector along digital surfaces 
CDGtal::COBAGenericNaivePlaneComputer< TSpace, TInternalInteger >  Aim: A class that recognizes pieces of digital planes of given axis width. When the width is 1, it corresponds to naive planes. Contrary to COBANaivePlaneComputer, the axis is not specified at initialization of the object. This class uses three instances of COBANaivePlaneComputer, one per axis 
CDGtal::COBAGenericStandardPlaneComputer< TSpace, TInternalInteger >  Aim: A class that recognizes pieces of digital planes of given axis width. When the diagonal width is \( 1 \times \sqrt{3} \), it corresponds to standard planes. Contrary to COBANaivePlaneComputer, the axis is not specified at initialization of the object. This class uses four instances of COBANaivePlaneComputer of axis z, by transforming points \((x,y,z)\) to \((x \pm z, y \pm z, z)\) 
CDGtal::COBANaivePlaneComputer< TSpace, TInternalInteger >  Aim: A class that contains the COBA algorithm (Emilie Charrier, Lilian Buzer, DGCI2008) for recognizing pieces of digital planes of given axis width. When the width is 1, it corresponds to naive planes. The axis is specified at initialization of the object 
CDGtal::COBANaivePlaneComputer< Space, InternalInteger >  
CDGtal::COBANaivePlaneComputer< Z3, InternalInteger >  
CDGtal::OneBalancedWordComputer< TConstIterator, TInteger >::CodeHandler< TIterator, iterator_type >  
CDGtal::OneBalancedWordComputer< TConstIterator, TInteger >::CodeHandler< ConstIterator >  
CDGtal::OneBalancedWordComputer< TConstIterator, TInteger >::CodeHandler< TIterator, BidirectionalCategory >  
CDGtal::OneBalancedWordComputer< TConstIterator, TInteger >::CodeHandler< TIterator, RandomAccessCategory >  
CDGtal::FreemanChain< TInteger >::CodesRange  Aim: model of CRange that provides services to (circularly)iterate over the letters of the freeman chain 
Cboost::Collection< C >  Go to http://www.sgi.com/tech/stl/Collection.html 
CDGtal::ColMajorStorage  Tag (empty structure) specifying a colmajor storage order 
CDGtal::Color  Structure representing an RGB triple with alpha component 
CDGtal::ColorBrightnessColorMap< PValue, PDefaultColor >  Aim: This class template may be used to (linearly) convert scalar values in a given range into a color with given lightness 
CDGtal::functors::ColorRGBEncoder< TValue >  
►CDGtal::Display3D< Space, KSpace >::CommonD3D  
CDGtal::TangencyComputer< TKSpace >::ShortestPaths::Comparator  
CDGtal::detail::ComparatorAdapter< Container, associative, ordered, pair >  
CDGtal::detail::ComparatorAdapter< Container, true, false, false >  Unordered setlike adapter 
CDGtal::detail::ComparatorAdapter< Container, true, false, true >  Unordered maplike adapter 
CDGtal::detail::ComparatorAdapter< Container, true, true, false >  Setlike adapter 
CDGtal::detail::ComparatorAdapter< Container, true, true, true >  Maplike adapter 
CDGtal::CompareLocalEstimators< TFirstEsimator, TSecondEstimator >  Aim: Functor to compare two local geometric estimators 
CDGtal::Viewer3D< TSpace, TKSpace >::CompFarthestPolygonFromCamera  
CDGtal::Viewer3D< TSpace, TKSpace >::CompFarthestSurfelFromCamera  
CDGtal::Viewer3D< TSpace, TKSpace >::CompFarthestTriangleFromCamera  
CDGtal::Viewer3D< TSpace, TKSpace >::CompFarthestVoxelFromCamera  
CDGtal::functors::Composer< TFunctor1, TFunctor2, ReturnType >  Aim: Define a new Functor from the composition of two other functors 
CDGtal::Mesh< TPoint >::CompPoints  
CDGtal::FrechetShortcut< TIterator, TInteger >::Cone  
Cboost::Const_BinaryPredicate< Func, First, Second >  Go to http://www.boost.org/libs/concept_check/reference.htm 
CDGtal::ConstAlias< T >  Aim: This class encapsulates its parameter class so that to indicate to the user that the object/pointer will be only const aliased (and hence left unchanged). Therefore the user is reminded that the argument parameter is given to the function without any additional cost and may not be modified, while he is aware that the lifetime of the argument parameter must be at least as long as the object itself. Note that an instance of ConstAlias<T> is itself a light object (it holds only an enum and a pointer) 
CDGtal::deprecated::ConstantConvolutionWeights< TDistance >  Aim: implement a trivial constant convolution kernel which returns 1 to each distance 
CDGtal::functors::ConstantPointPredicate< TPoint, boolCst >  Aim: The predicate that returns always the same value boolCst 
►CDGtal::functors::ConstantPointPredicate< TPoint, false >  
►CDGtal::functors::ConstantPointPredicate< TPoint, true >  
CDGtal::Labels< L, TWord >::ConstEnumerator  
CDGtal::ConstImageAdapter< TImageContainer, TNewDomain, TFunctorD, TNewValue, TFunctorV >  Aim: implements a const image adapter with a given domain (i.e. a subdomain) and 2 functors : g for domain, f for accessing point values 
CDGtal::functors::ConstImageFunctorHolder< TDomain, TValue, TFunctor >  Transform a pointdependent (and possibly domaindependent) functor into a constant image 
CDGtal::IndexedListWithBlocks< TValue, N, M >::ConstIterator  
CDGtal::LabelledMap< TData, L, TWord, N, M >::ConstIterator  
CDGtal::StandardDSLQ0< TFraction >::ConstIterator  
CDGtal::OneBalancedWordComputer< TConstIterator, TInteger >::ConstPointIterator  
CDGtal::functors::ConstImageFunctorHolder< TDomain, TValue, TFunctor >::ConstRange  Constant range on a ConstImageFunctorHolder 
CDGtal::ConstRangeAdapter< TIterator, TFunctor, TReturnType >  Aim: model of CConstBidirectionalRange that adapts any range of elements bounded by two iterators [itb, ite) and provides services to (circularly)iterate over it (in a readonly manner) 
CDGtal::ConstRangeFromPointAdapter< TRange, TFunctor, TReturnType >  Aim: model of CConstBidirectionalRangeFromPoint that adapts any bidirectional range and provides services to iterate over it (in a readonly manner) 
CDGtal::HyperRectDomain< TSpace >::ConstSubRange  Aim: range through some subdomain of all the points in the domain. Defines a constructor taking a domain in parameter plus some additional parameters to specify the subdomain, begin and end methods returning ConstIterator, and rbegin and rend methods returning ConstReverseIterator 
CDGtal::functors::ConstValue< TValue >  Aim: Define a simple functor that returns a constant value (0 by default) 
CDGtal::functors::ConstValueCell< TQuantity, TCell >  Aim: Define a simple functor that returns a constant quantity (0 by default) 
Cboost::Container< C >  Go to http://www.sgi.com/tech/stl/Container.html 
►CDGtal::ContainerCategory  
CDGtal::ContainerTraits< TContainer >  Defines default container traits for arbitrary types 
CDGtal::ContainerTraits< boost::unordered_map< Value, T, Hash, Pred, Alloc > >  Defines container traits for boost::unordered_map<> 
CDGtal::ContainerTraits< boost::unordered_multimap< Value, T, Hash, Pred, Alloc > >  Defines container traits for boost::unordered_multimap<> 
CDGtal::ContainerTraits< boost::unordered_multiset< Value, Hash, Pred, Alloc > >  Defines container traits for boost::unordered_multiset<> 
CDGtal::ContainerTraits< boost::unordered_set< Value, Hash, Pred, Alloc > >  Defines container traits for boost::unordered_set<> 
CDGtal::ContainerTraits< CubicalComplex< TKSpace, TCellContainer > >  
CDGtal::ContainerTraits< std::array< T, N > >  Defines container traits for std::array<> 
CDGtal::ContainerTraits< std::deque< T, Alloc > >  Defines container traits for std::deque<> 
CDGtal::ContainerTraits< std::forward_list< T, Alloc > >  Defines container traits for std::forward_list<> 
CDGtal::ContainerTraits< std::list< T, Alloc > >  Defines container traits for std::list<> 
CDGtal::ContainerTraits< std::map< Key, T, Compare, Alloc > >  Defines container traits for std::map<> 
CDGtal::ContainerTraits< std::multimap< Key, T, Compare, Alloc > >  Defines container traits for std::multimap<> 
CDGtal::ContainerTraits< std::multiset< T, Compare, Alloc > >  Defines container traits for std::multiset<> 
CDGtal::ContainerTraits< std::set< T, Compare, Alloc > >  Defines container traits for std::set<> 
CDGtal::ContainerTraits< std::unordered_map< Key, T, Hash, Pred, Alloc > >  Defines container traits for std::unordered_map<> 
CDGtal::ContainerTraits< std::unordered_multimap< Key, T, Hash, Pred, Alloc > >  Defines container traits for std::unordered_multimap<> 
CDGtal::ContainerTraits< std::unordered_multiset< Key, Hash, Pred, Alloc > >  Defines container traits for std::unordered_multiset<> 
CDGtal::ContainerTraits< std::unordered_set< Key, Hash, Pred, Alloc > >  Defines container traits for std::unordered_set<> 
CDGtal::ContainerTraits< std::vector< T, Alloc > >  Defines container traits for std::vector<> 
CDGtal::ContourHelper  Aim: a helper class to process sequences of points 
Cboost::Convertible< T >  Go to http://www.boost.org/libs/concept_check/reference.htm 
CDGtal::ConvexCellComplex< TPoint >  Aim: represents a ddimensional complex in a ddimensional space with the following properties and restrictions: 
►CDGtal::ConvexHullCommonKernel< dim, TCoordinateInteger, TInternalInteger >  Aim: the common part of all geometric kernels for computing the convex hull or Delaunay triangulation of a range of points 
CDGtal::ConvexHullCommonKernel< dim+1, DGtal::int64_t, DGtal::int64_t >  
CDGtal::ConvexHullCommonKernel< dim, DGtal::int64_t, DGtal::int64_t >  
CDGtal::ConvexityHelper< dim, TInteger, TInternalInteger >  Aim: Provides a set of functions to facilitate the computation of convex hulls and polytopes, as well as shortcuts to build cell complex representing a Delaunay complex 
CDGtal::detail::ConvexityHelperInternalInteger< TIntegerCoordinate, safe >  
CDGtal::detail::ConvexityHelperInternalInteger< DGtal::BigInteger, safe >  
CDGtal::detail::ConvexityHelperInternalInteger< DGtal::int32_t, false >  
CDGtal::detail::ConvexityHelperInternalInteger< DGtal::int32_t, true >  
CDGtal::detail::ConvexityHelperInternalInteger< DGtal::int64_t, false >  
CDGtal::detail::ConvexityHelperInternalInteger< DGtal::int64_t, true >  
►Cboost::CopyConstructible< T >  Go to http://www.sgi.com/tech/stl/CopyConstructible.html 
CDGtal::CorrectedNormalCurrentComputer< TRealPoint, TRealVector >  Aim: Utility class to compute curvature measures induced by (1) a corrected normal current defined by a surface mesh with prescribed normals and (2) the standard LipschitzKilling invariant forms of area and curvatures 
CDGtal::CorrectedNormalCurrentFormula< TRealPoint, TRealVector >  Aim: A helper class that provides static methods to compute corrected normal current formulas of curvatures 
CDGtal::CountedConstPtrOrConstPtr< T >  Aim: Smart or simple const pointer on T . It can be a smart pointer based on reference counts or a simple pointer on T depending either on a boolean value given at construction or on the constructor used. In the first case, we will call this pointer object smart, otherwise we will call it simple 
CDGtal::CountedConstPtrOrConstPtr< ConvolutionFunctor >  
CDGtal::CountedConstPtrOrConstPtr< DGtal::DigitalSurface >  
CDGtal::CountedConstPtrOrConstPtr< DGtal::DiscreteExteriorCalculus >  
CDGtal::CountedConstPtrOrConstPtr< DGtal::VoronoiCovarianceMeasureOnDigitalSurface >  
CDGtal::CountedConstPtrOrConstPtr< DigitalSurfaceContainer >  
CDGtal::CountedConstPtrOrConstPtr< DummyTbl >  
CDGtal::CountedConstPtrOrConstPtr< EuclideanShape >  
CDGtal::CountedConstPtrOrConstPtr< KSpace >  
CDGtal::CountedConstPtrOrConstPtr< Metric >  
CDGtal::CountedConstPtrOrConstPtr< PointPredicate >  
CDGtal::CountedConstPtrOrConstPtr< Shape >  
CDGtal::CountedConstPtrOrConstPtr< ShapeA >  
CDGtal::CountedConstPtrOrConstPtr< Surface >  
CDGtal::CountedConstPtrOrConstPtr< VCMOnDigitalSurface >  
CDGtal::CountedPtr< T >  Aim: Smart pointer based on reference counts 
CDGtal::CountedPtr< A1 >  
CDGtal::CountedPtr< AdjacentVertexContainer >  
CDGtal::CountedPtr< const Domain >  
CDGtal::CountedPtr< DGtal::DigitalSurfaceConvolver >  
CDGtal::CountedPtr< DGtal::DrawableWithBoard2D >  
CDGtal::CountedPtr< DGtal::DrawableWithDisplay3D >  
CDGtal::CountedPtr< DGtal::FunctorOnCells >  
CDGtal::CountedPtr< DGtal::functors::PointFunctorFromPointPredicateAndDomain >  
CDGtal::CountedPtr< DGtal::GaussDigitizer >  
CDGtal::CountedPtr< DGtal::ImplicitBall >  
CDGtal::CountedPtr< DGtal::IndexedDigitalSurface >  
CDGtal::CountedPtr< DGtal::SignalData< TValue > >  
CDGtal::CountedPtr< DGtal::SignalData< Value > >  
CDGtal::CountedPtr< DigitalSet >  
CDGtal::CountedPtr< DigitalSurfaceContainer >  
CDGtal::CountedPtr< DigitalTopology >  
CDGtal::CountedPtr< DigSurface >  
CDGtal::CountedPtr< Domain >  
CDGtal::CountedPtr< DrawableWithBoard2D >  
CDGtal::CountedPtr< DrawableWithDisplay3D >  
CDGtal::CountedPtr< DummyTbl >  
CDGtal::CountedPtr< GeometricFunctor >  
CDGtal::CountedPtr< GraphVisitor >  
CDGtal::CountedPtr< HyperRectDomain< Space > >  
CDGtal::CountedPtr< OutEdgeContainer >  
CDGtal::CountedPtr< OutputImage >  
CDGtal::CountedPtr< Point >  
CDGtal::CountedPtr< Preimage >  
CDGtal::CountedPtr< Sequence >  
CDGtal::CountedPtr< ShapePointFunctor >  
CDGtal::CountedPtr< StabbingLineComputer< ConstIterator > >  
CDGtal::CountedPtr< TImageContainer >  
CDGtal::CountedPtrOrPtr< T >  Aim: Smart or simple pointer on T. It can be a smart pointer based on reference counts or a simple pointer on T depending either on a boolean value given at construction or on the constructor used. In the first case, we will call this pointer object smart, otherwise we will call it simple 
CDGtal::CountedPtrOrPtr< boost::dynamic_bitset<> >  
CDGtal::CountedPtrOrPtr< ConfigMap >  
CDGtal::CountedPtrOrPtr< DummyTbl >  
CDGtal::CountedPtrOrPtr< PointToMaskMap >  
CDGtal::CountedPtrOrPtr< std::unordered_map< Point, unsigned int > >  
CDGtal::CountedPtr< T >::Counter  
CDGtal::deprecated::IntegralInvariantNormalVectorEstimator< TKSpace, TPointPredicate >::CovarianceMatrix2NormalDirectionFunctor  
CDGtal::CowPtr< T >  Aim: Copy on write shared pointer 
CDGtal::CowPtr< A1 >  
CDGtal::CowPtr< const Domain >  
CDGtal::CowPtr< DGtal::SignalData< TValue > >  
CDGtal::CowPtr< DGtal::SignalData< Value > >  
CDGtal::CowPtr< DigitalSet >  
CDGtal::CowPtr< DigitalTopology >  
CDGtal::CowPtr< Domain >  
CDGtal::CowPtr< DummyTbl >  
CDGtal::CowPtr< GeometricFunctor >  
CDGtal::CowPtr< Point >  
CDGtal::CowPtr< Preimage >  
CDGtal::CowPtr< StabbingLineComputer< ConstIterator > >  
CDGtal::CowPtr< TImageContainer >  
CDGtal::concepts::CSpace< T >  Aim: Defines the concept describing a digital space, ie a cartesian product of integer lines 
CDGtal::CubicalCellData  
►CDGtal::CubicalComplex< TKSpace, TCellContainer >  Aim: This class represents an arbitrary cubical complex living in some Khalimsky space. Cubical complexes are sets of cells of different dimensions related together with incidence relations. Two cells in a cubical complex are incident if and only if they are incident in the surrounding Khalimsky space. In other words, cubical complexes are defined here as subsets of Khalimsky spaces 
CDGtal::CubicalComplex< KSpace, FixtureMap >  
CDGtal::CubicalComplex< KSpace, typename TKSpace::template CellMap< CubicalCellData >::Type >  
CDGtal::CubicalComplex< TKSpace, typename TKSpace::template CellMap< CubicalCellData >::Type >  
►CDGtal::concepts::CUndirectedSimpleLocalGraph< T >  Aim: Represents the concept of local graph: each vertex has neighboring vertices, but we do not necessarily know all the vertices 
►CDGtal::concepts::CUndirectedSimpleLocalGraph< Adj >  
CDGtal::CurvatureFromBinomialConvolverFunctor< TBinomialConvolver, TReal >  Aim: This class is a functor for getting the curvature of a binomial convolver 
CDGtal::detail::CurvatureFromDCA< isCCW >  
CDGtal::detail::CurvatureFromDCA< false >  
CDGtal::detail::CurvatureFromDSSBaseEstimator< DSSComputer, Functor >  
►CDGtal::detail::CurvatureFromDSSBaseEstimator< DSSComputer, detail::CurvatureFromDSSLength >  
►CDGtal::detail::CurvatureFromDSSBaseEstimator< DSSComputer, detail::CurvatureFromDSSLengthAndWidth >  
CDGtal::detail::CurvatureFromDSSLength  
CDGtal::detail::CurvatureFromDSSLengthAndWidth  
CDGtal::concepts::CVertexPredicateArchetype< TVertex >  Aim: Defines a an archetype for concept CVertexPredicate 
CDGtal::concepts::CVertexPredicateArchetype< Vertex >  
CDGtal::concepts::CWithGradientMap< T >  Aim: Such object provides a gradient map that associates to each argument some real vector 
CDGtal::LabelledMap< TData, L, TWord, N, M >::DataOrBlockPointer  Used in first block to finish it or to point to the next block 
CDGtal::DecoratorParametricCurveTransformation< TCurve, TTransfromation >  Aim: Implements a decorator for applying transformations to parametric curves 
CDGtal::CubicalComplex< TKSpace, TCellContainer >::DefaultCellMapIteratorPriority  
CDGtal::DefaultConstImageRange< TImage >  Aim: model of CConstBidirectionalRangeFromPoint that adapts the domain of an image in order to iterate over the values associated to its domain points (in a readonly as well as a writeonly manner). 
►Cboost::DefaultConstructible< T >  Go to http://www.sgi.com/tech/stl/DefaultConstructible.html 
►Cboost::DefaultConstructible< S >  
CDGtal::DefaultImageRange< TImage >  Aim: model of CConstBidirectionalRangeFromPoint and CBidirectionalRangeWithWritableIteratorFromPoint that adapts the domain of an image in order to iterate over the values associated to its domain points (in a readonly as well as a writeonly manner). 
CDGtal::DepthFirstVisitor< TGraph, TMarkSet >  Aim: This class is useful to perform a depthfirst exploration of a graph given a starting point or set (called initial core) 
►Cstd::deque< T >  STL class 
CDerivativeTester< Calculus, order >  
CDerivativeTester< Calculus, 1 >  
CDGtal::DicomReader< TImageContainer, TFunctor >  Aim: Import a 3D DICOM image from file series 
CDGtal::DigitalConvexity< TKSpace >  Aim: A helper class to build polytopes from digital sets and to check digital kconvexity and full convexity 
CDGtal::DigitalConvexity< KSpace >  
CDGtal::DigitalMetricAdapter< TMetric, TInteger >  Aim: simple adapter class which adapts any models of concepts::CMetricSpace to a model of concepts::CDigitalMetricSpace 
CDGtal::DigitalPlanePredicate< TSpace >  Aim: Representing digital planes, which are digitizations of Euclidean planes, as point predicates 
CDGtal::DigitalSetBoundary< TKSpace, TDigitalSet >  Aim: A model of CDigitalSurfaceContainer which defines the digital surface as the boundary of a given digital set 
CDGtal::DigitalSetByAssociativeContainer< TDomain, TContainer >  Aim: A wrapper class around a STL associative container for storing sets of digital points within some given domain 
CDGtal::DigitalSetByAssociativeContainer< DGtal::Z3i::Domain, std::unordered_set< typename DGtal::Z3i::Domain::Point > >  
CDGtal::DigitalSetBySTLSet< TDomain, TCompare >  Aim: A container class for storing sets of digital points within some given domain 
CDGtal::DigitalSetBySTLVector< TDomain >  Aim: Realizes the concept CDigitalSet by using the STL container std::vector 
CDGtal::DigitalSetConverter< OutputDigitalSet >  Aim: Utility class to convert between types of sets 
CDGtal::DigitalSetDomain< TDigitalSet >  Aim: Constructs a domain limited to the given digital set 
CDGtal::DigitalSetDomain< DigitalSet >  
CDGtal::DigitalSetFromMap< TMapImage >  Aim: An adapter for viewing an associative image container like ImageContainerBySTLMap as a simple digital set. This class is merely based on an aliasing pointer on the image, which must exists elsewhere. 
CDGtal::DigitalSetSelector< Domain, Preferences >  Aim: Automatically defines an adequate digital set type according to the hints given by the user 
CDGtal::DigitalShapesCSG< ShapeA, ShapeB >  Aim: Constructive Solid Geometry (CSG) between models of CDigitalBoundedShape and CDigitalOrientedShape Use CSG operation (union, intersection, minus) from a shape of Type ShapeA with one (or more) shapes of Type ShapeB. Can combine differents operations. Limitations: Since we don't have a class derived by all shapes, operations can be done by only one type of shapes. Use CSG of CSG to go beyond this limitation 
CDGtal::deprecated::DigitalShapesIntersection< ShapeA, ShapeB >  Aim: Intersection between two models of CDigitalBoundedShape and CDigitalOrientedShape 
CDGtal::deprecated::DigitalShapesMinus< ShapeA, ShapeB >  Aim: Minus between two models of CDigitalBoundedShape and CDigitalOrientedShape 
CDGtal::deprecated::DigitalShapesUnion< ShapeA, ShapeB >  Aim: Union between two models of CDigitalBoundedShape and CDigitalOrientedShape 
CDGtal::DigitalSurface< TDigitalSurfaceContainer >  Aim: Represents a set of n1cells in a nD space, together with adjacency relation between these cells. Therefore, a digital surface is a pure cubical complex (model of CCubicalComplex), made of kcells, 0 <= k < n. This complex is generally not a manifold (i.e. a kind of surface), except when it has the property of being wellcomposed 
CDGtal::DigitalSurface2DSlice< TDigitalSurfaceTracker >  Aim: Represents a 2dimensional slice in a DigitalSurface. In a sense, it is a 4connected contour, open or not. To be valid, it must be connected to some digital surface and a starting surfel 
CDGtal::DigitalSurfaceConvolver< TFunctor, TKernelFunctor, TKSpace, TDigitalKernel, dimension >  
CDGtal::DigitalSurfaceConvolver< TFunctor, TKernelFunctor, TKSpace, TDigitalKernel, 2 >  
CDGtal::DigitalSurfaceConvolver< TFunctor, TKernelFunctor, TKSpace, TDigitalKernel, 3 >  
CDGtal::DigitalSurfaceEmbedderWithNormalVectorEstimator< TDigitalSurfaceEmbedder, TNormalVectorEstimator >  Aim: Combines a digital surface embedder with a normal vector estimator to get a model of CDigitalSurfaceEmbedder and CWithGradientMap. (also default constructible, copy constructible, assignable) 
CDGtal::DigitalSurfaceEmbedderWithNormalVectorEstimatorGradientMap< TDigitalSurfaceEmbedder, TNormalVectorEstimator >  
CDGtal::DigitalSurfacePredicate< TSurface >  Aim: A point predicate which tells whether a point belongs to the set of pointels of a given digital surface or not 
CDGtal::DigitalSurfacePredicate< Surface >  
CDGtal::DigitalSurfaceRegularization< TDigitalSurface >  Aim: Implements Digital Surface Regularization as described in [29] 
CDGtal::DigitalTopology< TForegroundAdjacency, TBackgroundAdjacency >  Aim: Represents a digital topology as a couple of adjacency relations 
CDGtal::DigitalTopologyTraits< TForegroundAdjacency, TBackgroundAdjacency, dim >  Aim: the traits classes for DigitalTopology types 
CDGtal::DigitalTopologyTraits< MetricAdjacency< TSpace, 1 >, MetricAdjacency< TSpace, 2 >, 2 >  Aim: Specialization of the traits classes for DigitalTopology types for any 2D Space, for topology (4,8) 
CDGtal::DigitalTopologyTraits< MetricAdjacency< TSpace, 1 >, MetricAdjacency< TSpace, 2 >, 3 >  Aim: Specialization of the traits classes for DigitalTopology types for any 2D Space, for topology (6,18) 
CDGtal::DigitalTopologyTraits< MetricAdjacency< TSpace, 1 >, MetricAdjacency< TSpace, 3 >, 3 >  Aim: Specialization of the traits classes for DigitalTopology types for any 2D Space, for topology (6,26) 
CDGtal::DigitalTopologyTraits< MetricAdjacency< TSpace, 2 >, MetricAdjacency< TSpace, 1 >, 2 >  Aim: Specialization of the traits classes for DigitalTopology types for any 2D Space, for topology (8,4) 
CDGtal::DigitalTopologyTraits< MetricAdjacency< TSpace, 2 >, MetricAdjacency< TSpace, 1 >, 3 >  Aim: Specialization of the traits classes for DigitalTopology types for any 2D Space, for topology (18,6) 
CDGtal::DigitalTopologyTraits< MetricAdjacency< TSpace, 3 >, MetricAdjacency< TSpace, 1 >, 3 >  Aim: Specialization of the traits classes for DigitalTopology types for any 2D Space, for topology (26,6) 
CDGtal::DirichletConditions< TLinearAlgebraBackend >  Aim: A helper class to solve a system with Dirichlet boundary conditions 
CDGtal::DiscreteExteriorCalculus< dimEmbedded, dimAmbient, TLinearAlgebraBackend, TInteger >  Aim: DiscreteExteriorCalculus represents a calculus in the dec package. This is the main structure in the dec package. This is used to describe the space on which the dec is build and to compute various operators. Once operators or kforms are created, this structure should not be modified 
CDGtal::DiscreteExteriorCalculusFactory< TLinearAlgebraBackend, TInteger >  Aim: This class provides static members to create DEC structures from various other DGtal structures 
CDGtal::DiscreteExteriorCalculusSolver< TCalculus, TLinearAlgebraSolver, order_in, duality_in, order_out, duality_out >  Aim: This wraps a linear algebra solver around a discrete exterior calculus 
CDGtal::Display2DFactory  Factory for Display2D: 
CDGtal::concepts::Display3D< S, KS >  Aim: The concept CDrawableWithDisplay3D specifies what are the classes that admit an export with Display3D 
►CDGtal::Display3D< Space, KSpace >  Aim: This semi abstract class defines the stream mechanism to display 3d primitive (like BallVector, DigitalSetBySTLSet, Object ...). The class Viewer3D and Board3DTo2D implement two different ways to display 3D objects. The first one (Viewer3D), permits an interactive visualisation (based on OpenGL ) and the second one (Board3dto2d) provides 3D visualisation from 2D vectorial display (based on the CAIRO library) 
CDGtal::Display3D< DGtal::SpaceND, DGtal::KhalimskySpaceND >  
CDGtal::Display3D< S, KS >  
CDGtal::Display3D< Sp, KSp >  
CDGtal::Display3D< Space, KSpace >  
CDGtal::Display3D< SpaceND< 3 >, KhalimskySpaceND< 3 > >  
CDGtal::Display3D< Z3i::Space, Z3i::KSpace >  
►CDGtal::Display3DFactory< TSpace, TKSpace >  Factory for GPL Display3D: 
►CDGtal::Display3DFactory< TSpace, TKSpace >  
CDGtal::Display3DFactory< Z3i::Space, Z3i::KSpace >  
CDGtal::DistanceBreadthFirstVisitor< TGraph, TVertexFunctor, TMarkSet >  Aim: This class is useful to perform an exploration of a graph given a starting point or set (called initial core) and a distance criterion 
CDGtal::detail::DistanceFromDCA  
CDGtal::IteratorCompletionTraits< ArrayImageAdapter< TArrayIterator, TDomain > >::DistanceFunctor  
CDGtal::DistanceFunctorFromPoint< TImage >  
CDGtal::DomainAdjacency< TDomain, TAdjacency >  Aim: Given a domain and an adjacency, limits the given adjacency to the specified domain for all adjacency and neighborhood computations 
CDGtal::DomainAdjacency< ObjectDomain, ForegroundAdjacency >  
CDGtal::deprecated::DomainMetricAdjacency< Domain, maxNorm1, dimension >  Aim: Describes digital adjacencies in a digital domain that are defined with the 1norm and the infinitynorm 
CDGtal::functors::DomainPredicate< TDomain >  Aim: The predicate returning true iff the point is in the domain given at construction. It is just a wrapper class around the methods Domain::isInside( const Point & ), where Domain stands for any model of CDomain 
CDGtal::functors::DomainPredicate< Domain >  
CDGtal::functors::DomainRigidTransformation2D< TDomain, TRigidTransformFunctor >  Aim: implements bounds of transformed domain 
CDGtal::functors::DomainRigidTransformation2D< Domain, ForwardTrans >  
CDGtal::functors::DomainRigidTransformation3D< TDomain, TRigidTransformFunctor >  Aim: implements bounds of transformed domain 
CDGtal::functors::DomainRigidTransformation3D< Domain, ForwardTrans >  
►CDGtal::DrawableWithBoard2D  
CDGtal::DrawableWithBoard3DTo2D  
►CDGtal::DrawableWithDisplay3D  
►CDGtal::DrawWithBoardModifier  
►CDGtal::DrawWithDisplay3DModifier  Base class specifying the methods for classes which intend to modify a Viewer3D stream 
CDGtal::DSLSubsegment< TInteger, TNumber >  Aim: Given a Digital Straight line and two endpoints A and B on this line, compute the minimal characteristics of the digital subsegment [AB] in logarithmic time. Two algorithms are implemented: one is based on the local computation of lower and upper convex hulls, the other is based on a dual transformation and uses the Farey fan. Implementation requires that the DSL lies in the first octant (0 <= a <= b) 
►CDGtal::detail::DSSDecorator< TDSS >  Aim: Abstract DSSDecorator for ArithmeticalDSSComputer. Has 2 virtual methods returning the first and last leaning point: 
CDGtal::DSSLengthEstimator< TConstIterator >  Aim: a model of CGlobalCurveEstimator that segments the digital curve into DSS and computes the length of the resulting (not uniquely defined) polygon 
CDGtal::DSSLengthLessEqualFilter< DSS >  
CDGtal::DSSMuteFilter< DSS >  
CDGtal::DSSMuteFilter< typename DSSSegmentationComputer::SegmentComputer >  
CDGtal::functors::DummyEstimatorFromSurfels< TSurfel, TSCellEmbedder >  
CDGtal::DynamicBidirectionalSegmentComputer  
CDGtal::DynamicSegmentComputer  
CDGtal::DigitalSurface< TDigitalSurfaceContainer >::Edge  
CDGtal::HalfEdgeDataStructure::Edge  
CDGtal::IntersectionTargetTrait< TSpace, TSeparation, TDimension >::Edge  Internal Edge structure 
CDGtal::Object< TDigitalTopology, TDigitalSet >::Edge  
►Cedge_list_graph_tag  
Cboost::EdgeListGraphConcept< G >  Go to http://www.boost.org/doc/libs/1_52_0/libs/graph/doc/EdgeListGraph.html 
CDGtal::EhrhartPolynomial< TSpace, TInteger >  Aim: This class implements the class Ehrhart Polynomial which is related to lattice point enumeration in bounded lattice polytopes 
CDGtal::EigenDecomposition< TN, TComponent, TMatrix >  Aim: This class provides methods to compute the eigen decomposition of a matrix. Its objective is to replace a specialized matrix library when none are available 
CDGtal::EigenLinearAlgebraBackend  Aim: Provide linear algebra backend using Eigen dense and sparse matrix as well as dense vector. 6 linear solvers available: 
CDGtal::VoronoiCovarianceMeasureOnDigitalSurface< TDigitalSurfaceContainer, TSeparableMetric, TKernelFunction >::EigenStructure  Structure to hold a diagonalized matrix 
CDGtal::functors::ElementaryConvolutionNormalVectorEstimator< TSurfel, TEmbedder >  Aim: Estimates normal vector by convolution of elementary normal vector to adjacent surfel 
CDGtal::EllipticHelix< TSpace >  Aim: Implement a parametric curve â€“ elliptic helix 
►Cboost::EqualityComparable< T >  Go to http://www.sgi.com/tech/stl/EqualityComparable.html 
CDGtal::functors::EqualPointPredicate< TPoint >  Aim: The predicate returns true when the point given as argument equals the reference point given at construction 
CDGtal::detail::EqualPredicateFromLessThanComparator< LessThan, T >  
CDGtal::EstimatorCache< TEstimator, TContainer >  Aim: this class adapts any local surface estimator to cache the estimated values in a associative container (Surfel <> estimated value) 
CDGtal::detail::EuclideanDivisionHelper< TNumber >  Aim: Small stucture that provides a static method returning the Euclidean division of two integers 
CDGtal::detail::EuclideanDivisionHelper< double >  
CDGtal::detail::EuclideanDivisionHelper< float >  
CDGtal::detail::EuclideanDivisionHelper< long double >  
CDGtal::EuclideanShapesCSG< ShapeA, ShapeB >  Aim: Constructive Solid Geometry (CSG) between models of CEuclideanBoundedShape and CEuclideanOrientedShape Use CSG operation (union, intersection, minus) from a shape of Type ShapeA with one (or more) shapes of Type ShapeB. Can combine differents operations. Limitations: Since we don't have a class derived by all shapes, operations can be done by only one type of shapes. Use CSG of CSG to go beyond this limitation 
CDGtal::deprecated::EuclideanShapesIntersection< ShapeA, ShapeB >  Aim: Intersection between two models of CEuclideanBoundedShape and CEuclideanOrientedShape 
CDGtal::deprecated::EuclideanShapesMinus< ShapeA, ShapeB >  Aim: Minus between two models of CEuclideanBoundedShape and CEuclideanOrientedShape 
CDGtal::deprecated::EuclideanShapesUnion< ShapeA, ShapeB >  Aim: Union between two models of CEuclideanBoundedShape and CEuclideanOrientedShape 
CDGtal::MPolynomialEvaluatorImpl< n, TRing, TOwner, TAlloc, TX >::EvalFun< XX, Fun >  
CDGtal::MPolynomialEvaluatorImpl< 1, TRing, TOwner, TAlloc, TX >::EvalFun  
CDGtal::MPolynomialEvaluatorImpl< n, TRing, TOwner, TAlloc, TX >::EvalFun2  
CDGtal::ExactPredicateLpPowerSeparableMetric< TSpace, p, TPromoted >  Aim: implements weighted separable l_p metrics with exact predicates 
CDGtal::ExactPredicateLpPowerSeparableMetric< TSpace, 2, TPromoted >  
CDGtal::ExactPredicateLpSeparableMetric< TSpace, p, TRawValue >  Aim: implements separable l_p metrics with exact predicates 
CDGtal::ExactPredicateLpSeparableMetric< TSpace, 2, TRawValue >  
►Cstd::exception  STL class 
CDGtal::Expander< TObject >  Aim: This class is useful to visit an object by adjacencies, layer by layer 
CDGtal::ExplicitDigitalSurface< TKSpace, TSurfelPredicate >  Aim: A model of CDigitalSurfaceContainer which defines the digital surface as connected surfels. The shape is determined by a predicate telling whether a given surfel belongs or not to the shape boundary. Compute once the boundary of the surface with a tracking 
CDGtal::Viewer3D< TSpace, TKSpace >::Extension  
CDGtal::DigitalSurface< TDigitalSurfaceContainer >::Face  
CDGtal::QuickHull< TKernel >::Facet  
►Cstd::false_type  
CDGtal::functors::FalseBoolFct0  
CDGtal::detail::FFTWComplexCast< TFFTW >  Facility to cast to the complex type used by fftw 
CDGtal::detail::FFTWWrapper< Real >  Wrapper to fftw functions depending on value type 
CDGtal::detail::FFTWWrapper< double >  
CDGtal::detail::FFTWWrapper< float >  
CDGtal::detail::FFTWWrapper< long double >  
CDGtal::Filtered2x2DetComputer< TDetComputer >  Aim: Class that provides a way of computing the sign of the determinant of a 2x2 matrix from its four coefficients, ie 
CDGtal::IndexedListWithBlocks< TValue, N, M >::FirstBlock  
CDGtal::functors::FlipDomainAxis< TDomain >  Aim: Functor that flips the domain coordinate system from some selected axis. For instance, if a flip on the y axis is applied on a domain of bounds (0, 0, 0) (MaxX, MaxY, MaxZ), then the coordinate of P(x,y,z) will transformed in P(x, MaxYy, z) 
CDGtal::functors::Floor< T >  Functor that rounds down 
CDGtal::functors::Floor< void >  Functor that rounds down 
CDGtal::FMM< TImage, TSet, TPointPredicate, TPointFunctor >  Aim: Fast Marching Method (FMM) for nd distance transforms 
►Cboost::forward_iterator_archetype  
►CDGtal::ForwardCategory  
Cboost::ForwardContainer< C >  Go to http://www.sgi.com/tech/stl/ForwardContainer.html 
►Cboost::ForwardContainer< T >  
Cboost::ForwardIterator< T >  Go to http://www.sgi.com/tech/stl/ForwardIterator.html 
CDGtal::functors::ForwardRigidTransformation2D< TSpace, TInputValue, TOutputValue, TFunctor >  Aim: implements forward rigid transformation of point in the 2D integer space. Warring: This version uses closest neighbor interpolation 
CDGtal::functors::ForwardRigidTransformation2D< Space >  
CDGtal::functors::ForwardRigidTransformation3D< TSpace, TInputValue, TOutputValue, TFunctor >  Aim: implements forward rigid transformation of point in 3D integer space around any arbitrary axis. This implementation uses the Rodrigues' rotation formula. Warring: This version uses closest neighbor interpolation 
CDGtal::functors::ForwardRigidTransformation3D< Space >  
CDGtal::ForwardSegmentComputer  
Cboost_concepts::ForwardTraversalConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/ForwardTraversal.html 
CDGtal::FP< TIterator, TInteger, connectivity >  Aim: Computes the faithful polygon (FP) of a range of 4/8connected 2D Points 
CDGtal::FPLengthEstimator< TConstIterator >  Aim: a model of CGlobalCurveEstimator that computes the length of a digital curve using its FP (faithful polygon) 
CDGtal::LighterSternBrocot< TInteger, TQuotient, TMap >::Fraction  This fraction is a model of CPositiveIrreducibleFraction 
CDGtal::LightSternBrocot< TInteger, TQuotient, TMap >::Fraction  This fraction is a model of CPositiveIrreducibleFraction 
CDGtal::SternBrocot< TInteger, TQuotient >::Fraction  This fraction is a model of CPositiveIrreducibleFraction 
CDGtal::FrechetShortcut< TIterator, TInteger >  Aim: Online computation Computation of the longest shortcut according to the FrÃ©chet distance for a given error. See related article: Sivignon, I., (2011). A NearLinear Time Guaranteed Algorithm for Digital Curve Simplification under the FrÃ©chet Distance. DGCI 2011. Retrieved from http://link.springer.com/chapter/10.1007/9783642198670_28 
CDGtal::FrechetShortcut< ConstIterator, Integer >  
CDGtal::FreemanChain< TInteger >  
CDGtal::FreemanChain< int >  
CDGtal::functors::FrontierPredicate< TKSpace, TImage >  Aim: The predicate on surfels that represents the frontier between two regions in an image. It can be used with ExplicitDigitalSurface or LightExplicitDigitalSurface so as to define a digital surface. Such surfaces may of course be open 
Cboost::FrontInsertionSequence< C >  Go to http://www.sgi.com/tech/stl/FrontInsertionSequence.html 
CDGtal::FrontInsertionSequenceToStackAdapter< TSequence >  Aim: This class implements a dynamic adapter to an instance of a model of front insertion sequence in order to get a stack interface. This class is a model of CStack 
CDGtal::functors::FunctorHolder< FunctorStorage, NeedDereference >  Aim: hold any callable object (function, functor, lambda, ...) as a C(Unary)Functor model 
CDGtal::FunctorOnCells< TFunctorOnPoints, TKSpace >  Aim: Convert a functor on Digital Point to a Functor on Khalimsky Cell 
CDGtal::GaussDigitizer< TSpace, TEuclideanShape >  Aim: A class for computing the Gauss digitization of some Euclidean shape, i.e. its intersection with some \( h_1 Z \times h_2 Z \times \cdots \times h_n Z \). Note that the real point (0,...,0) is mapped onto the digital point (0,...,0) 
CDGtal::GaussDigitizer< Space, MyEuclideanShape >  
CDGtal::deprecated::GaussianConvolutionWeights< TDistance >  Aim: implement a Gaussian centered convolution kernel 
CDGtal::functors::GaussianKernel  Aim: defines a functor on double numbers which corresponds to a Gaussian convolution kernel. This functor acts from [0,1] to [0,1] 
Cboost::Generator< Func, Return >  Go to http://www.sgi.com/tech/stl/Generator.html 
CDGtal::GraphVisitorRange< TGraphVisitor >::GenericConstIterator< TAccessor >  
CDGtal::GenericReader< TContainer, Tdim, TValue >  Aim: Provide a mechanism to load with the bestloader according to an image (2D or 3D) filename (by parsing the extension) 
CDGtal::GenericReader< TContainer, 2, DGtal::uint32_t >  
CDGtal::GenericReader< TContainer, 2, TValue >  
CDGtal::GenericReader< TContainer, 3, DGtal::uint32_t >  
CDGtal::GenericReader< TContainer, 3, DGtal::uint64_t >  
CDGtal::GenericReader< TContainer, 3, TValue >  
CDGtal::GenericWriter< TContainer, Tdim, TValue, TFunctor >  Aim: Provide a mechanism to save image (2D or 3D) into file with the best saver loader according to an filename (by parsing the extension) 
CDGtal::GenericWriter< TContainer, 2, DGtal::Color, TFunctor >  
CDGtal::GenericWriter< TContainer, 2, TValue, TFunctor >  
CDGtal::GenericWriter< TContainer, 2, unsigned char, TFunctor >  
CDGtal::GenericWriter< TContainer, 3, DGtal::uint64_t, TFunctor >  
CDGtal::GenericWriter< TContainer, 3, TValue, TFunctor >  
CDGtal::GenericWriter< TContainer, 3, unsigned char, TFunctor >  
CDGtal::GeodesicsInHeat< TPolygonalCalculus >  This class implements [39] on polygonal surfaces (using Discrete differential calculus on polygonal surfaces) 
CDGtal::Viewer3D< TSpace, TKSpace >::GLTextureImage  
CDGtal::GradientColorMap< PValue, PDefaultPreset, PDefaultFirstColor, PDefaultLastColor >  Aim: This class template may be used to (linearly) convert scalar values in a given range into a color in a gradient defined by two or more colors 
CDGtal::GradientColorMap< unsigned int >  
►Cboost::spirit::qi::grammar  
Cboost::graph_traits< DGtal::DigitalSurface< TDigitalSurfaceContainer > >  
Cboost::graph_traits< DGtal::Object< TDigitalTopology, TDigitalSet > >  
Cboost::GraphConcept< G >  Go to http://www.boost.org/doc/libs/1_52_0/libs/graph/doc/Graph.html 
CDGtal::GraphVisitorRange< TGraphVisitor >  Aim: Transforms a graph visitor into a single pass input range 
CDGtal::GrayscaleColorMap< PValue >  Aim: This class template may be used to (linearly) convert scalar values in a given range into gray levels 
CDGtal::GreedySegmentation< TSegmentComputer >  Aim: Computes the greedy segmentation of a range given by a pair of ConstIterators. The last element of a given segment is the first one one of the next segment 
CDGtal::functors::GreenChannel  
CDGtal::GridCurve< TKSpace >  Aim: describes, in a cellular space of dimension n, a closed or open sequence of signed dcells (or dscells), d being either equal to 1 or (n1) 
CDGtal::H5DSpecializations< TImageFactory, T >  Aim: implements HDF5 reading and writing for specialized type T 
CDGtal::H5DSpecializations< TImageFactory, DGtal::int32_t >  Aim: implements HDF5 reading and writing for specialized type DGtal::int32_t 
CDGtal::H5DSpecializations< TImageFactory, DGtal::int64_t >  Aim: implements HDF5 reading and writing for specialized type DGtal::int64_t 
CDGtal::H5DSpecializations< TImageFactory, DGtal::uint8_t >  Aim: implements HDF5 reading and writing for specialized type DGtal::uint8_t 
CDGtal::H5DSpecializations< TImageFactory, double >  Aim: implements HDF5 reading and writing for specialized type double 
CDGtal::HalfEdgeDataStructure::HalfEdge  
CDGtal::HalfEdgeDataStructure  Aim: This class represents an halfedge data structure, which is a structure for representing the topology of a combinatorial 2dimensional surface or an embedding of a planar graph in the plane. It does not store any geometry. As a minimal example, these lines of code build two triangles connected by the edge {1,2} 
CDGtal::ConvexHullCommonKernel< dim, TCoordinateInteger, TInternalInteger >::HalfSpace  
►Cstd::hash< DGtal::BigInteger >  
Cboost::hash< DGtal::KhalimskyCell< dim, TInteger > >  Extend boost namespace to define a boost::hash function on DGtal::KhalimskyCell 
Cstd::hash< DGtal::KhalimskyCell< dim, TInteger > >  Extend std namespace to define a std::hash function on DGtal::KhalimskyCell 
Cstd::hash< DGtal::PointVector< dim, EuclideanRing, Container > >  
Cboost::hash< DGtal::SignedKhalimskyCell< dim, TInteger > >  Extend boost namespace to define a boost::hash function on DGtal::SignedKhalimskyCell 
Cstd::hash< DGtal::SignedKhalimskyCell< dim, TInteger > >  Extend std namespace to define a std::hash function on DGtal::SignedKhalimskyCell 
CDGtal::detail::HasNestedTypeCategory< T >  Aim: Checks whether type T has a nested type called 'Category' or not. NB: from en.wikipedia.org/wiki/Substitution_failure_is_not_an_error NB: to avoid various compiler issues, we use BOOST_STATIC_CONSTANT according to http://www.boost.org/development/int_const_guidelines.html 
CDGtal::detail::HasNestedTypeType< IC >  Aim: Checks whether type IC has a nested type called 'Type' or not. NB: from en.wikipedia.org/wiki/Substitution_failure_is_not_an_error NB: to avoid various compiler issues, we use BOOST_STATIC_CONSTANT according to http://www.boost.org/development/int_const_guidelines.html 
CDGtal::functors::HatFunction< TScalar >  
CDGtal::functors::HatPointFunction< TPoint, TScalar >  
CDGtal::HDF5Reader< TImageContainer, TFunctor >  Aim: Import a HDF5 file 
CDGtal::HDF5Writer< TImage, TFunctor >  Aim: Export an Image with the HDF5 format 
CDGtal::LongvolReader< TImageContainer, TFunctor >::HeaderField  
CDGtal::VolReader< TImageContainer, TFunctor >::HeaderField  
CDGtal::Histogram< TQuantity, TBinner >  Aim: Represents a typical histogram in statistics, which is a discrete estimate of the probability distribution of a continuous variable 
CHodgeTester< Calculus, order >  
CHodgeTester< Calculus, 1 >  
CDGtal::HueShadeColorMap< PValue, DefaultCycles >  Aim: This class template may be used to (linearly) convert scalar values in a given range into a color in a cyclic hue shade colormap, maybe aka rainbow color map. This color map is suitable, for example, to colorize distance functions. By default, only one hue cycle is used 
CDGtal::HyperRectDomain< TSpace >  Aim: Parallelepidec region of a digital space, model of a 'CDomain' 
CDGtal::HyperRectDomain< Space >  
CDGtal::functors::Identity  Aim: Define a simple default functor that just returns its argument 
CDGtal::functors::IdentityBoolFct1  
CDGtal::functors::IICurvatureFunctor< TSpace >  Aim: A functor Real > Real that returns the 2d curvature by transforming the given volume. This functor is valid only in 2D space 
CDGtal::functors::IIFirstPrincipalCurvature3DFunctor< TSpace, TMatrix >  Aim: A functor Matrix > Real that returns the first principal curvature value by diagonalizing the given covariance matrix. This functor is valid starting from 3D space. Note that by first we mean the value with first greatest curvature in absolute value 
CDGtal::functors::IIFirstPrincipalDirectionFunctor< TSpace, TMatrix >  Aim: A functor Matrix > RealVector that returns the first principal curvature direction by diagonalizing the given covariance matrix. This functor is valid starting from 2D space and is equivalent to IITangentDirectionFunctor in 2D. Note that by first we mean the direction with greatest curvature in absolute value 
CDGtal::functors::IIGaussianCurvature3DFunctor< TSpace, TMatrix >  Aim: A functor Matrix > Real that returns the Gaussian curvature by diagonalizing the given covariance matrix. This functor is valid starting from 3D space. Note that the Gaussian curvature is computed by multiplying the two gretest curvature values in absolute value 
CDGtal::functors::IIMeanCurvature3DFunctor< TSpace >  Aim: A functor Real > Real that returns the 3d mean curvature by transforming the given volume. This functor is valid only in 3D space 
CDGtal::functors::IINormalDirectionFunctor< TSpace, TMatrix >  Aim: A functor Matrix > RealVector that returns the normal direction by diagonalizing the given covariance matrix 
CDGtal::functors::IIPrincipalCurvatures3DFunctor< TSpace, TMatrix >  Aim: A functor Matrix > std::pair<Real,Real> that returns the first and the second principal curvature value by diagonalizing the given covariance matrix. This functor is valid starting from 3D space. Note that by first we mean the value with first greatest curvature in absolute value 
CDGtal::functors::IIPrincipalCurvaturesAndDirectionsFunctor< TSpace, TMatrix >  Aim: A functor Matrix > std::pair<RealVector,RealVector> that returns the first and the second principal curvature directions by diagonalizing the given covariance matrix. This functor is valid only for 3D space. Note that by second we mean the direction with second greatest curvature in absolute value 
CDGtal::functors::IIPrincipalDirectionsFunctor< TSpace, TMatrix >  Aim: A functor Matrix > std::pair<RealVector,RealVector> that returns the first and the second principal curvature directions by diagonalizing the given covariance matrix. This functor is valid starting from 3D space. Note that by second we mean the direction with second greatest curvature in absolute value 
CDGtal::functors::IISecondPrincipalCurvature3DFunctor< TSpace, TMatrix >  Aim: A functor Matrix > Real that returns the second principal curvature value by diagonalizing the given covariance matrix. This functor is valid starting from 3D space. Note that by second we mean the value with second greatest curvature in absolute value 
CDGtal::functors::IISecondPrincipalDirectionFunctor< TSpace, TMatrix >  Aim: A functor Matrix > RealVector that returns the second principal curvature direction by diagonalizing the given covariance matrix. This functor is valid starting from 3D space. Note that by second we mean the direction with second greatest curvature in absolute value 
CDGtal::functors::IITangentDirectionFunctor< TSpace, TMatrix >  Aim: A functor Matrix > RealVector that returns the tangent direction by diagonalizing the given covariance matrix. This functor is valid only in 2D space 
CDGtal::Image< TImageContainer >  Aim: implements association bewteen points lying in a digital domain and values 
CDGtal::Viewer3D< TSpace, TKSpace >::Image2DDomainD3D  
CDGtal::ImageAdapter< TImageContainer, TNewDomain, TFunctorD, TNewValue, TFunctorV, TFunctorVm1 >  Aim: implements an image adapter with a given domain (i.e. a subdomain) and 3 functors : g for domain, f for accessing point values and f1 for writing point values 
CDGtal::ImageCache< TImageContainer, TImageFactory, TReadPolicy, TWritePolicy >  Aim: implements an images cache with 'read and write' policies 
CDGtal::ImageCacheReadPolicyFIFO< TImageContainer, TImageFactory >  Aim: implements a 'FIFO' read policy cache 
CDGtal::ImageCacheReadPolicyLAST< TImageContainer, TImageFactory >  Aim: implements a 'LAST' read policy cache 
CDGtal::ImageCacheWritePolicyWB< TImageContainer, TImageFactory >  Aim: implements a 'WB (Writeback or Writebehind)' write policy cache 
CDGtal::ImageCacheWritePolicyWT< TImageContainer, TImageFactory >  Aim: implements a 'WT (Writethrough)' write policy cache 
CDGtal::experimental::ImageContainerByHashTree< TDomain, TValue, THashKey >  Model of CImageContainer implementing the association key<>Value using a hash tree. This class provides a builtin iterator 
CDGtal::ImageContainerByITKImage< TDomain, TValue >  Aim: implements a model of CImageContainer using a ITK Image 
CDGtal::ImageFactoryFromHDF5< TImageContainer >  Aim: implements a factory from an HDF5 file 
CDGtal::ImageFactoryFromImage< TImageContainer >  Aim: implements a factory to produce images from a "bigger/original" one according to a given domain 
CDGtal::ImageFromSet< TImage >  Aim: Define utilities to convert a digital set into an image 
CDGtal::ImageLinearCellEmbedder< TKSpace, TImage, TEmbedder >  Aim: a cellular embedder for images. (default constructible, copy constructible, assignable). Model of CCellEmbedder 
CDGtal::ImageSelector< Domain, Value, Preferences >  Aim: Automatically defines an adequate image type according to the hints given by the user. 
CDGtal::ImageSelector< Domain, unsignedchar >  
CDGtal::ImageToConstantFunctor< Image, PointPredicate, TValue >  
CDGtal::ImplicitBall< TSpace >  Aim: model of CEuclideanOrientedShape and CEuclideanBoundedShape concepts to create a ball in nD. 
CDGtal::ImplicitDigitalSurface< TKSpace, TPointPredicate >  Aim: A model of CDigitalSurfaceContainer which defines the digital surface as the boundary of an implicitly define shape. Compute once the boundary of the surface with a tracking 
►CDGtal::ImplicitFunctionDiff1LinearCellEmbedder< TKSpace, TImplicitFunctionDiff1, TEmbedder >  Aim: a cellular embedder for implicit functions, (default constructible, copy constructible, assignable). Model of CCellEmbedder and CWithGradientMap 
CDGtal::ImplicitFunctionLinearCellEmbedder< TKSpace, TImplicitFunction, TEmbedder >  Aim: a cellular embedder for implicit functions, (default constructible, copy constructible, assignable). Model of CCellEmbedder 
CDGtal::ImplicitHyperCube< TSpace >  Aim: model of CEuclideanOrientedShape and CEuclideanBoundedShape concepts to create an hypercube in nD. 
CDGtal::ImplicitNorm1Ball< TSpace >  Aim: model of CEuclideanOrientedShape and CEuclideanBoundedShape concepts to create a ball for the L_1 norm in nD 
CDGtal::ImplicitPolynomial3Shape< TSpace >  Aim: model of CEuclideanOrientedShape concepts to create a shape from a polynomial 
CDGtal::ImplicitRoundedHyperCube< TSpace >  Aim: model of CEuclideanOrientedShape and CEuclideanBoundedShape concepts to create a rounded hypercube in nD. 
CDGtal::functors::ImpliesBoolFct2  
►Cincidence_graph_tag  
Cboost::IncidenceGraphConcept< G >  Go to http://www.boost.org/doc/libs/1_52_0/libs/graph/doc/IncidenceGraph.html 
Cboost_concepts::IncrementableIteratorConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/IncrementableIterator.html 
CDGtal::IndexedDigitalSurface< TDigitalSurfaceContainer >  Aim: Represents a digital surface with the topology of its dual surface. Its aim is to mimick the standard DigitalSurface, but to optimize its traversal and topology services. The idea is simply to number all its vertices (ie surfels), arcs, and faces and to store its topology with an halfedge data structure. It is essentially a PolygonalSurface but with services specific to DigitalSurface, like a tracker, a DigitalSurfaceContainer, etc. In theory, it can replace a DigitalSurface in many algorithms, and is more efficient if you need to do a lot of traversal on it (like many kring operations) 
CDGtal::IndexedListWithBlocks< TValue, N, M >  Aim: Represents a mixed list/array structure which is useful in some context. It is essentially a list of blocks 
CDGtal::IndexedDigitalSurface< TDigitalSurfaceContainer >::IndexedPropertyMap< TData >  
CDGtal::PolygonalSurface< TPoint >::IndexedPropertyMap< TData >  
CDGtal::TriangulatedSurface< TPoint >::IndexedPropertyMap< TData >  
CDGtal::InexactPredicateLpSeparableMetric< TSpace, TValue >  Aim: implements separable l_p metrics with approximated predicates 
CDGtal::InGeneralizedDiskOfGivenRadius< TPoint, TDetComputer >  Aim: This class implements an orientation functor that provides a way to determine the position of a given point with respect to the unique circle passing by the same two given points and whose radius and orientation is given 
CDGtal::InHalfPlaneBy2x2DetComputer< TPoint, TDetComputer >  Aim: Class that implements an orientation functor, ie. it provides a way to compute the orientation of three given 2d points. More precisely, it returns: 
CDGtal::InHalfPlaneBySimple3x3Matrix< TPoint, TInteger >  Aim: Class that implements an orientation functor, ie. it provides a way to compute the orientation of three given 2d points. More precisely, it returns: 
CDGtal::InHalfPlaneBySimple3x3Matrix< Point, double >  
►Cboost::input_iterator_archetype  
Cboost::InputIterator< T >  Go to http://www.sgi.com/tech/stl/InputIterator.html 
CDGtal::InputIteratorWithRankOnSequence< TSequence, TRank >  Aim: Useful to create an iterator that returns a pair (value,rank) when visiting a sequence. The sequence is smartly copied within the iterator. Hence, the given sequence need not to persist during the visit. Since it is only an input sequence, it is not necessary to give a valid sequence when creating the end() iterator 
Cboost::Integer< T >  Go to http://www.boost.org/libs/concept_check/reference.htm 
CDGtal::IntegerComputer< TInteger >  Aim: This class gathers several types and methods to make computation with integers 
CDGtal::IntegerComputer< Integer >  
CDGtal::IntegerConverter< dim, TInteger >  — INTEGER/POINT CONVERSION SERVICES — 
CDGtal::IntegerConverter< dim, DGtal::BigInteger >  
CDGtal::IntegerConverter< dim, DGtal::int32_t >  
CDGtal::IntegerConverter< dim, DGtal::int64_t >  
CDGtal::IntegralIntervals< TInteger >  Aim: 
CDGtal::IntegralInvariantCovarianceEstimator< TKSpace, TPointPredicate, TCovarianceMatrixFunctor >  Aim: This class implement an Integral Invariant estimator which computes for each surfel the covariance matrix of the intersection of the shape with a ball of given radius centered on the surfel 
CDGtal::deprecated::IntegralInvariantNormalVectorEstimator< TKSpace, TPointPredicate >  Aim: This class implement an Integral Invariant normal vector estimator 
CDGtal::IntegralInvariantVolumeEstimator< TKSpace, TPointPredicate, TVolumeFunctor >  Aim: This class implement an Integral Invariant estimator which computes for each surfel the volume of the intersection of the shape with a ball of given radius centered on the surfel 
Cboost_concepts::InteroperableIteratorConcept< Iterator, ConstIterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/InteroperableIterator.html 
CDGtal::IntersectionTargetTrait< TSpace, TSeparation, TDimension >::IntersectionTarget< Space, Separation, Dimension >  Internal intersection target structure 
CDGtal::IntersectionTargetTrait< TSpace, TSeparation, TDimension >::IntersectionTarget< Space, 26, 1 >  
CDGtal::IntersectionTargetTrait< TSpace, TSeparation, TDimension >::IntersectionTarget< Space, 6, 1 >  
CDGtal::IntersectionTargetTrait< TSpace, TSeparation, TDimension >  Aim: A class for intersection target used for voxelization 
CDGtal::IntersectionTargetTrait< Space, 6, 1 >  
CDGtal::functors::IntervalForegroundPredicate< Image >  Aim: Define a simple Foreground predicate thresholding image values between two constant values (the first one being excluded) 
CDGtal::functors::IntervalThresholder< T >  Aim: A small functor with an operator () that compares one value to an interval 
Cboost::is_integral< T >  Go to http://www.boost.org/doc/libs/1_52_0/libs/type_traits/doc/html/index.html 
Cboost::is_unsigned< T >  Go to http://www.boost.org/doc/libs/1_52_0/libs/type_traits/doc/html/index.html 
CDGtal::IsAssociativeContainer< T >  
CDGtal::detail::IsAssociativeContainerFromCategory< TCategory >  
CDGtal::detail::IsCirculator< IC, flagHasNestedTypeCalledType >  Aim: Checks whether type IC is a circular or a classical iterator. Static value set to 'true' for a circulator, 'false' otherwise. 1) if type IC has no nested type 'Type', it is a classical iterator and 'false' is returned. 2) if type IC has a nested type 'Type', 'true' is returned is 'Type' is CirculatorType, 'false' otherwise 
CDGtal::IsCirculator< IC >  Aim: Checks whether type IC is a circular or a classical iterator. Static value set to 'true' for a circulator, 'false' otherwise. 
CDGtal::detail::IsCirculator< IC, true >  
CDGtal::detail::IsCirculatorFromType< IC, ICType >  Aim: In order to check whether type IC is a circular or a classical iterator, the nested type called 'Type' is read. 
CDGtal::detail::IsCirculatorFromType< IC, CirculatorType >  
CDGtal::IsContainer< T >  
CDGtal::detail::IsContainerFromCategory< TCategory >  
CDGtal::functors::IsLowerPointPredicate< TPoint >  Aim: The predicate returns true when the point is below (or equal) the given upper bound 
CDGtal::IsMultipleAssociativeContainer< T >  
CDGtal::detail::IsMultipleAssociativeContainerFromCategory< TCategory >  
CDGtal::IsOrderedAssociativeContainer< T >  
CDGtal::detail::IsOrderedAssociativeContainerFromCategory< TCategory >  
CDGtal::IsPairAssociativeContainer< T >  
CDGtal::detail::IsPairAssociativeContainerFromCategory< TCategory >  
CDGtal::IsSequenceContainer< T >  
CDGtal::detail::IsSequenceContainerFromCategory< TCategory >  
CDGtal::IsSimpleAssociativeContainer< T >  
CDGtal::detail::IsSimpleAssociativeContainerFromCategory< TCategory >  
CDGtal::IsUniqueAssociativeContainer< T >  
CDGtal::detail::IsUniqueAssociativeContainerFromCategory< TCategory >  
CDGtal::IsUnorderedAssociativeContainer< T >  
CDGtal::detail::IsUnorderedAssociativeContainerFromCategory< TCategory >  
CDGtal::functors::IsUpperPointPredicate< TPoint >  Aim: The predicate returns true when the point is above (or equal) the given lower bound 
CDGtal::functors::IsWithinPointPredicate< TPoint >  Aim: The predicate returns true when the point is within the given bounds 
CDGtal::functors::IsWithinPointPredicate< Point >  
CDGtal::experimental::ImageContainerByHashTree< TDomain, TValue, THashKey >::Iterator  Builtin iterator on an HashTree. This iterator visits all node in the tree 
CDGtal::IndexedListWithBlocks< TValue, N, M >::Iterator  
►Cstd::iterator  
►Cboost::iterator_adaptor  
►Cboost::iterator_facade  
►Cboost::iterator_facade< ArrayImageIterator< TIterableClass >, TIterableClass::Value, std::random_access_iterator_tag, decltype(((TIterableClass *) nullptr) >dereference(TIterableClass::Point::diagonal(0), TIterableClass::Point::Coordinate(0))) >  
CDGtal::IteratorCirculatorTraits< IC >  Aim: Provides nested types for both iterators and circulators: Type, Category, Value, Difference, Pointer and Reference 
CDGtal::IteratorCirculatorTraits< T * >  
CDGtal::IteratorCirculatorTraits< T const * >  
CDGtal::IteratorCirculatorType< IC >  Aim: Provides the type of IC as a nested type: either IteratorType or CirculatorType 
CDGtal::detail::IteratorCirculatorTypeImpl< b >  Aim: Defines the Iterator or Circulator type as a nested type according to the value of b 
CDGtal::detail::IteratorCirculatorTypeImpl< true >  
CDGtal::IteratorCompletion< TDerived >  Aim: Class that uses CRTP to add reverse iterators and ranges to a derived class 
►CDGtal::IteratorCompletion< ArrayImageAdapter< TArrayIterator, HyperRectDomain< TSpace > > >  
CDGtal::IteratorCompletion< MyImage< T, N > >  
CDGtal::IteratorCompletionTraits< TDerived >  Aim: Traits that must be specialized for each IteratorCompletion derived class 
CDGtal::IteratorCompletionTraits< ArrayImageAdapter< TArrayIterator, TDomain > >  [IteratorCompletionTraits] 
CDGtal::IteratorType  
CDGtal::ITKDicomReader< TImage >  Aim: Import a 2D/3D DICOM Image from file series 
CDGtal::ITKIOTrait< Value >  Aim: Provide type trait for ITK reader and ITK writer 
CDGtal::ITKIOTrait< bool >  
CDGtal::ITKReader< TImage >  Aim: Import a 2D/3D Image using the ITK formats 
CDGtal::ITKWriter< TImage, TFunctor >  Export a 2D/3D Image using the ITK formats 
CDGtal::ITKWriter< ImageContainerByITKImage< TDomain, TValue >, TFunctor >  
CDGtal::IVector< T, TAlloc, usePointers >  
CDGtal::IVector< T, TAlloc, true >  
CDGtal::KanungoNoise< TPointPredicate, TDomain, TDigitalSetContainer >  Aim: From a point predicate (model of concepts::CPointPredicate), this class constructs another point predicate as a noisy version of the input one 
CDGtal::NaiveParametricCurveDigitizer3D< TParametricCurve >::KConstIter  A structure used for making iterations over digital curve with respect to K_NEXT 
CDGtal::detail::KeyComparatorForPairKeyData< KeyComparator, PairKeyData >  
CDGtal::LabelledMap< TData, L, TWord, N, M >::KeyCompare  Key comparator class. Always natural ordering 
CDGtal::KForm< TCalculus, order, duality >  Aim: KForm represents discrete kforms in the dec package 
CDGtal::KhalimskyCell< dim, TInteger >  Represents an (unsigned) cell in a cellular grid space by its Khalimsky coordinates 
CDGtal::KhalimskyCell< dim, Integer >  
CDGtal::KhalimskyPreCell< dim, TInteger >  Represents an unsigned cell in an unbounded cellular grid space by its Khalimsky coordinates 
CDGtal::KhalimskyPreCell< dim, Integer >  
CDGtal::KhalimskyPreSpaceND< dim, TInteger >  Aim: This class is a model of CPreCellularGridSpaceND. It represents the cubical grid as a cell complex, whose cells are defined as an array of integers. The topology of the cells is defined by the parity of the coordinates (even: closed, odd: open) 
►CDGtal::KhalimskySpaceNDHelper< TKhalimskySpace >  Internal class of KhalimskySpaceND that provides some optimizations depending on the space type 
CDGtal::KhalimskySpaceNDHelper< KhalimskySpaceND< dim, DGtal::int32_t > >  
►CDGtal::KhalimskySpaceNDHelper< KhalimskySpaceND< dim, TInteger > >  
CDGtal::NaiveParametricCurveDigitizer3D< TParametricCurve >::KIter  A structure used for making iterations over digital curve with respect to K_NEXT 
CDGtal::Knot_3_1< TSpace >  Aim: Implement a parametrized knot 3, 1 
CDGtal::Knot_3_2< TSpace >  Aim: Implement a parametrized knot 3, 2 
CDGtal::Knot_4_1< TSpace >  Aim: Implement a parametrized knot 4, 1 
CDGtal::Knot_4_3< TSpace >  Aim: Implement a parametrized knot 4, 3 
CDGtal::Knot_5_1< TSpace >  Aim: Implement a parametrized knot 5, 1 
CDGtal::Knot_5_2< TSpace >  Aim: Implement a parametrized knot 5, 2 
CDGtal::Knot_6_2< TSpace >  Aim: Implement a parametrized knot 6, 2 
CDGtal::Knot_7_4< TSpace >  Aim: Implement a parametrized knot 7, 4 
CDGtal::L1LengthEstimator< TConstIterator >  Aim: a simple model of CGlobalCurveEstimator that compute the length of a curve using the l_1 metric (just add 1/h for every step) 
CDGtal::L1LocalDistance< TImage, TSet >  Aim: Class for the computation of the L1distance at some point p, from the available distance values of some points lying in the 1neighborhood of p (ie. points at a L1distance to p equal to 1) 
CDGtal::L2FirstOrderLocalDistance< TImage, TSet >  Aim: Class for the computation of the Euclidean distance at some point p, from the available distance values of some points lying in the 1neighborhood of p (ie. points at a L1distance to p equal to 1) 
CDGtal::L2FirstOrderLocalDistanceFromCells< TKSpace, TMap, isIndirect >  Aim: Class for the computation of the Euclidean distance at some point p, from the available distance values in the neighborhood of p. Contrary to L2FirstOrderLocalDistance, the distance values are not available from the points adjacent to p but instead from the (d1)cells lying between p and these points. 
CDGtal::L2SecondOrderLocalDistance< TImage, TSet >  Aim: Class for the computation of the Euclidean distance at some point p, from the available distance values of some points lying in the neighborhood of p, such that only one of their coordinate differ from the coordinates of p by at most two 
CDGtal::LabelledMap< TData, L, TWord, N, M >  Aim: Represents a map label > data, where the label is an integer between 0 and a constant L1. It is based on a binary coding of labels and a mixed list/array structure. The assumption is that the number of used labels is much less than L. The objective is to minimize the memory usage 
CDGtal::LabelledMap< Value, L, TWord, N, M >  
CDGtal::detail::LabelledMapMemFunctor  
CDGtal::Labels< L, TWord >  Aim: Stores a set of labels in {O..L1} as a sequence of bits 
CDGtal::Labels< L, Word >  
CDGtal::LagrangeInterpolation< TEuclideanRing >  Aim: This class implements Lagrange basis functions and Lagrange interpolation 
CDGtal::functors::Lambda64Function  
CDGtal::functors::LambdaExponentialFunction  
►CDGtal::LambdaMST2DEstimator< TSpace, TSegmentation, Functor >  
CDGtal::LambdaMST2DEstimator< Z2i::Space, DSSSegmentationComputer, TangentFromDSS2DFunctor< DSSSegmentationComputer::SegmentComputer, functors::Lambda64Function > >  
►CDGtal::LambdaMST3DBy2DEstimator< Iterator3D, Functor, LambdaFunctor, CONNECTIVITY >  
CDGtal::LambdaMST3DBy2DEstimator< Iterator3D, TangentFromDSS3DBy2DFunctor, functors::Lambda64Function, 8 >  
►CDGtal::LambdaMST3DEstimator< TSpace, TSegmentation, Functor, DSSFilter >  
CDGtal::LambdaMST3DEstimator< Z3i::Space, DSSSegmentationComputer, TangentFromDSS3DFunctor< DSSSegmentationComputer::SegmentComputer, functors::Lambda64Function >, DSSMuteFilter< typename DSSSegmentationComputer::SegmentComputer > >  
CDGtal::functors::LambdaSinFromPiFunction  
CDGtal::functors::LargeTruncationFunctor< Integer >  Binary functor that returns the algebraic quotient i of a/b with any fractional part discarded (truncation toward zero). Note that \( i \leq a/b \) 
CDGtal::LatticePolytope2D< TSpace, TSequence >  Aim: Represents a 2D polytope, i.e. a convex polygon, in the twodimensional digital plane. The list of points must follow the clockwise ordering 
CDGtal::LatticePolytope2D< InternalSpace2 >  
CDGtal::LatticeSetByIntervals< TSpace >  Aim: 
CDGtal::LatticeSetByIntervals< Space >  
CDGtal::BoundedLatticePolytope< TSpace >::LeftStrictUnitCell  
CDGtal::BoundedLatticePolytope< TSpace >::LeftStrictUnitSegment  
CDGtal::experimental::ChamferNorm2D< TSpace >::LessOrEqThanAngular  
CDGtal::experimental::ChamferNorm2D< TSpace >::LessThanAngular  
►Cboost::LessThanComparable< T >  Go to http://www.sgi.com/tech/stl/LessThanComparable.html 
CDGtal::LighterSternBrocot< TInteger, TQuotient, TMap >  Aim: The SternBrocot tree is the tree of irreducible fractions. This class allows to construct it progressively and to navigate within fractions in O(1) time for most operations. It is well known that the structure of this tree is a coding of the continued fraction representation of fractions 
CDGtal::LightExplicitDigitalSurface< TKSpace, TSurfelPredicate >  Aim: A model of CDigitalSurfaceContainer which defines the digital surface as connected surfels. The shape is determined by a predicate telling whether a given surfel belongs or not to the shape boundary. The whole boundary is not precomputed nor stored. You may use an iterator to visit it 
CDGtal::LightImplicitDigitalSurface< TKSpace, TPointPredicate >  Aim: A model of CDigitalSurfaceContainer which defines the digital surface as the boundary of an implicitly define shape. The whole boundary is not precomputed nor stored. You may use an iterator to visit it 
CDGtal::LightSternBrocot< TInteger, TQuotient, TMap >  Aim: The SternBrocot tree is the tree of irreducible fractions. This class allows to construct it progressively and to navigate within fractions in O(1) time for most operations. It is well known that the structure of this tree is a coding of the continued fraction representation of fractions 
CDGtal::LinearAlgebra< Space >  Aim: A utility class that contains methods to perform integral linear algebra 
CDGtal::Linearizer< TDomain, TStorageOrder >  Aim: Linearization and delinearization interface for domains 
CDGtal::Linearizer< HyperRectDomain< TSpace >, TStorageOrder >  Aim: Linearization and delinearization interface for HyperRectDomain 
CDGtal::functors::LinearLeastSquareFittingNormalVectorEstimator< TSurfel, TEmbedder >  Aim: Estimates normal vector using CGAL linear least squares plane fitting 
CDGtal::LinearOperator< TCalculus, order_in, duality_in, order_out, duality_out >  Aim: LinearOperator represents discrete linear operator between discrete kforms in the DEC package 
CDGtal::LInfLocalDistance< TImage, TSet >  Aim: Class for the computation of the LInfdistance at some point p, from the available distance values of some points lying in the 1neighborhood of p (ie. points at a L1distance to p equal to 1) 
CDGtal::deprecated::LocalConvolutionNormalVectorEstimator< TDigitalSurface, TKernelFunctor >  Aim: Computes the normal vector at a surface element by convolution of elementary normal vector to adjacent surfel 
CDGtal::LocalEstimatorFromSurfelFunctorAdapter< TDigitalSurfaceContainer, TMetric, TFunctorOnSurfel, TConvolutionFunctor >  Aim: this class adapts any local functor on digital surface element to define a local estimator. This class is model of CDigitalSurfaceLocalEstimator 
CDGtal::LOG2< X >  
CDGtal::LOG2< 1 >  
CDGtal::LOG2< 2 >  
CDGtal::LongvolReader< TImageContainer, TFunctor >  Aim: implements methods to read a "Longvol" file format (with DGtal::uint64_t value type) 
CDGtal::LongvolWriter< TImage, TFunctor >  Aim: Export a 3D Image using the Longvol formats (volumetric image with DGtal::uint64_t value type) 
CDGtal::LpMetric< TSpace >  Aim: implements l_p metrics 
Cboost_concepts::LvalueIteratorConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/LvalueIteratorConcept.html 
►Cstd::map< K, T >  STL class 
CDGtal::functors::Max< T >  
CDGtal::MaximalSegmentSliceEstimation< TSurface >  Aim: 
CDGtal::MaximalSegmentSliceEstimation< Surface >  
CDGtal::functors::MeanChannels  
CDGtal::MeaningfulScaleAnalysis< TProfile >  Aim: This class implements different methods used to define the meaningful scale analysis as proposed in [63] . In particular, it uses the Profile class to represent a multiscale profile and to compute a meaningful scale. It also permits to get a noise estimation from the given profile 
CDGtal::Measure< TSet >  Aim: Implements a simple measure computation (in the Lesbegue sens) of a set. In dimension 2, it corresponds to the area of the set, to the volume in dimension 3,.. 
CDGtal::MeasureOfStraightLines  The aim of this class is to compute the measure in the Lebesgues sense of the set of straight lines associated to domains defined as polygons in the (a,b)parameter space. This parameter space maps the line $axy+b=0$ to the point $(a,b)$ 
CDGtal::MelkmanConvexHull< TPoint, TOrientationFunctor >  Aim: This class implements the online algorithm of Melkman for the computation of the convex hull of a simple polygonal line (without selfintersection) [Melkman, 1987: [85]] 
CDGtal::MelkmanConvexHull< InputPoint, DGtal::InHalfPlaneBySimple3x3Matrix >  
CDGtal::Mesh< TPoint >  Aim: This class is defined to represent a surface mesh through a set of vertices and faces. By using the default constructor, the mesh does not store any color information (it can be changed by setting the default constructor parameter saveFaceColor to 'true') 
CDGtal::MeshHelpers  Aim: Static class that provides builder and converters between meshes 
CDGtal::MeshReader< TPoint >  Aim: Defined to import OFF and OFS surface mesh. It allows to import a Mesh object and takes into accouts the optional color faces 
CDGtal::MeshVoxelizer< TDigitalSet, Separation >  Aim: A class for computing the digitization of a triangle or a Mesh 
CDGtal::MeshWriter< TPoint >  Aim: Export a Mesh (Mesh object) in different format as OFF and OBJ) 
CLibBoard::MessageStream  
CDGtal::MetricAdjacency< TSpace, maxNorm1, dimension >  Aim: Describes digital adjacencies in digital spaces that are defined with the 1norm and the infinitynorm 
CDGtal::functors::Min< T >  Duplicated STL functors 
CDGtal::functors::Minus< T >  
CDGtal::MLPLengthEstimator< TConstIterator >  Aim: a model of CGlobalCurveEstimator that computes the length of a digital curve using its MLP (given by the FP) 
CDGtal::ModuloComputer< TInteger >  Implements basic functions on modular arithmetic 
CDGtal::functors::MongeJetFittingGaussianCurvatureEstimator< TSurfel, TEmbedder >  Aim: Estimates Gaussian curvature using CGAL Jet Fitting and Monge Form 
CDGtal::functors::MongeJetFittingMeanCurvatureEstimator< TSurfel, TEmbedder >  Aim: Estimates Mean curvature using CGAL Jet Fitting and Monge Form 
CDGtal::functors::MongeJetFittingNormalVectorEstimator< TSurfel, TEmbedder >  Aim: Estimates normal vector using CGAL Jet Fitting and Monge Form 
CDGtal::functors::MongeJetFittingPrincipalCurvaturesEstimator< TSurfel, TEmbedder >  Aim: Estimates Gaussian curvature using CGAL Jet Fitting and Monge Form 
CDGtal::detail::monomial_node  
CDGtal::Morton< THashKey, TPoint >  Aim: Implements the binary Morton code construction in nD 
CDGtal::Morton< HashKey, DGtal::PointVector >  
CDGtal::MostCenteredMaximalSegmentEstimator< SegmentComputer, SCEstimator >  Aim: A model of CLocalCurveGeometricEstimator that assigns to each element of a (sub)range a quantity estimated from the most centered maximal segment passing through this element 
CDGtal::MPolynomial< n, TRing, TAlloc >  Aim: Represents a multivariate polynomial, i.e. an element of \( K[X_0, ..., X_{n1}] \), where K is some ring or field 
CDGtal::MPolynomial< 0, TRing, TAlloc >  Aim: Specialization of MPolynomial for degree 0 
CDGtal::MPolynomial< 3, Ring >  
CDGtal::MPolynomial< n, Ring, Alloc >  
CDGtal::MPolynomialDerivativeComputer< N, n, Ring, Alloc >  
CDGtal::MPolynomialDerivativeComputer< 0, 0, Ring, Alloc >  
CDGtal::MPolynomialDerivativeComputer< 0, n, Ring, Alloc >  
CDGtal::MPolynomialDerivativeComputer< N, 0, Ring, Alloc >  
CDGtal::MPolynomialEvaluator< n, TRing, TAlloc, TX >  
CDGtal::MPolynomialEvaluator< 1, TRing, TAlloc, TX >  
CDGtal::MPolynomialEvaluatorImpl< n, TRing, TOwner, TAlloc, TX >  
CDGtal::MPolynomialEvaluatorImpl< 1, Ring, Owner, Alloc, X >  
CDGtal::MPolynomialEvaluatorImpl< 1, TRing, TOwner, TAlloc, TX >  
CDGtal::MPolynomialEvaluatorImpl< n, Ring, Owner, Alloc, X >  
CDGtal::MPolynomialReader< n, TRing, TAlloc, TIterator >  Aim: This class converts a string polynomial expression in a multivariate polynomial 
Cboost::MultiPassInputIterator< G >  Go to http://www.boost.org/doc/libs/1_52_0/libs/utility/MultiPassInputIterator.html 
Cboost::MultipleAssociativeContainer< C >  Go to http://www.sgi.com/tech/stl/MultipleAssociativeContainer.html 
CDGtal::functors::MultiplicationByScalar< T >  
CDGtal::MultiStatistics  Aim: This class stores a set of sample values for several variables and can then compute different statistics, like sample mean, sample variance, sample unbiased variance, etc 
►Cboost::mutable_bidirectional_iterator_archetype  
Cboost::Mutable_BidirectionalIterator< T >  Go to http://www.boost.org/libs/concept_check/reference.htm 
Cboost::Mutable_Container< C >  Go to http://www.boost.org/libs/concept_check/reference.htm 
Cboost::Mutable_ForwardContainer< C >  Go to http://www.boost.org/libs/concept_check/reference.htm 
Cboost::Mutable_ForwardIterator< T >  Go to http://www.boost.org/libs/concept_check/reference.htm 
Cboost::Mutable_RandomAccessContainer< C >  Go to http://www.boost.org/libs/concept_check/reference.htm 
Cboost::Mutable_RandomAccessIterator< T >  Go to http://www.boost.org/libs/concept_check/reference.htm 
Cboost::Mutable_ReversibleContainer< C >  Go to http://www.boost.org/libs/concept_check/reference.htm 
CDGtal::Naive3DDSSComputer< TIterator, TInteger, connectivity >  Aim: Dynamic recognition of a 3ddigital straight segment (DSS) 
CDGtal::NaiveParametricCurveDigitizer3D< TParametricCurve >  Aim: Digitization of 3D parametric curves. This method produces, for good parameters step and k_next, a 26connected digital curves obtained from a digitization process of 3D parametric curves 
CDGtal::Negate< T >  
CDGtal::Negate< TagFalse >  
CDGtal::Negate< TagTrue >  
CDGtal::NeighborhoodConvexityAnalyzer< TKSpace, K >  Aim: A class that models a \( (2k+1)^d \) neighborhood and that provides services to analyse the convexity properties of a digital set within this neighborhood 
CDGtal::experimental::ImageContainerByHashTree< TDomain, TValue, THashKey >::Node  
CDGtal::LighterSternBrocot< TInteger, TQuotient, TMap >::Node  
CDGtal::LightSternBrocot< TInteger, TQuotient, TMap >::Node  
CDGtal::SternBrocot< TInteger, TQuotient >::Node  
CDGtal::GraphVisitorRange< TGraphVisitor >::NodeAccessor  
CDGtal::NormalCycleComputer< TRealPoint, TRealVector >  Aim: Utility class to compute curvatures measures induced by (1) the normal cycle induced by a SurfaceMesh, (2) the standard LipschitzKilling invariant forms of area and curvatures 
CDGtal::NormalCycleFormula< TRealPoint, TRealVector >  Aim: A helper class that provides static methods to compute normal cycle formulas of curvatures 
CDGtal::detail::NormalizedTangentVectorFromDSS  
CDGtal::VoronoiCovarianceMeasureOnDigitalSurface< TDigitalSurfaceContainer, TSeparableMetric, TKernelFunction >::Normals  Structure to hold the normals for each surfel (the VCM one and the trivial one) 
CDGtal::NormalVectorEstimatorLinearCellEmbedder< TDigitalSurface, TNormalVectorEstimator, TEmbedder >  Aim: model of cellular embedder for normal vector estimators on digital surface, (default constructible, copy constructible, assignable) 
CDGtal::detail::NormalVectorFromDCA  
CDGtal::PlaneProbingParallelepipedEstimator< TPredicate, mode >::NotAbovePredicate  
CDGtal::functors::NotBoolFct1  
CDGtal::NotContainerCategory  
CDGtal::functors::NotPointPredicate< TPointPredicate >  Aim: The predicate returns true when the point predicate given at construction return false. Thus inverse a predicate: NOT operator 
CDGtal::functors::NotPointPredicate< InCoreDomainPredicate >  
►CDGtal::NumberTraitsImpl< T, Enable >  Aim: The traits class for all models of Cinteger (implementation) 
CDGtal::NumberTraitsImpl< DGtal::BigInteger, Enable >  Specialization of NumberTraitsImpl for DGtal::BigInteger 
CDGtal::NumberTraitsImpl< std::decay< Integer >::type >  
►CDGtal::NumberTraitsImpl< std::decay< T >::type >  
CDGtal::NumberTraitsImpl< std::decay< TInteger >::type >  
►CDGtal::details::NumberTraitsImplFundamental< T >  NumberTraits common part for fundamental integer and floatingpoint types 
CDGtal::Object< TDigitalTopology, TDigitalSet >  Aim: An object (or digital object) represents a set in some digital space associated with a digital topology 
CDGtal::Object< FixtureDigitalTopology, FixtureDigitalSet >  
CDGtal::FrechetShortcut< TIterator, TInteger >::Backpath::occulter_attributes  
CDGtal::OneBalancedWordComputer< TConstIterator, TInteger >  Aim: 
CDGtal::OpInSTLContainers< Container, Iterator >  
CDGtal::OpInSTLContainers< Container, std::reverse_iterator< typename Container::iterator > >  
CDGtal::OppositeDuality< duality_orig >  
CDGtal::OppositeDuality< DUAL >  
CDGtal::OppositeDuality< PRIMAL >  
CDGtal::functors::OrBoolFct2  
CDGtal::OrderedAlphabet  Aim: Describes an alphabet over an interval of (ascii) letters, where the lexicographic order can be changed (shifted, reversed, ...). Useful for the arithmetic minimum length polygon (AMLP) 
CDGtal::OrderedLinearRegression  Description of class 'OrderedLinearRegression' 
Cboost::OutputIterator< T >  Go to http://www.sgi.com/tech/stl/OutputIterator.html 
CDGtal::OwningOrAliasingPtr< T >  Aim: This class describes a smart pointer that is, given the constructor called by the user, either an alias pointer on existing data or an owning pointer on a copy 
CDGtal::OwningOrAliasingPtr< Storage >  
►Cstd::pair  
CDGtal::functors::Pair1st< ReturnType >  Aim: Define a simple functor that returns the first member of a pair 
CDGtal::functors::Pair1st< Point >  
CDGtal::functors::Pair1stMutator< ReturnType >  Aim: Define a simple unary functor that returns a reference on the first member of a pair in order to update it 
CDGtal::functors::Pair2nd< ReturnType >  Aim: Define a simple functor that returns the second member of a pair 
CDGtal::functors::Pair2ndMutator< ReturnType >  Aim: Define a simple unary functor that returns a reference on the first member of a pair in order to update it 
Cboost::PairAssociativeContainer< C >  Go to http://www.sgi.com/tech/stl/PairAssociativeContainer.html 
CDGtal::ParallelStrip< TSpace, muIncluded, muPlusNuIncluded >  Aim: A parallel strip in the space is the intersection of two parallel halfplanes such that each halfplane includes the other 
CDGtal::Parameters  
CDGtal::ParameterValue  
CDGtal::ParametricShapeArcLengthFunctor< TParametricShape >  Aim: implements a functor that estimates the arc length of a paramtric curve 
CDGtal::ParametricShapeCurvatureFunctor< TParametricShape >  Aim: implements a functor that computes the curvature at a given point of a parametric shape 
CDGtal::ParametricShapeTangentFunctor< TParametricShape >  Aim: implements a functor that computes the tangent vector at a given point of a parametric shape 
CDGtal::ParDirCollapse< CC >  Aim: Implements thinning algorithms in cubical complexes. The implementation supports any model of cubical complex, for instance a DGtal::CubicalComplex< KhalimskySpaceND< 3, int > >. Three approaches are provided. The first—ParDirCollapse—bases on directional collapse of free pairs of faces. Second—CollapseSurface—is an extension of ParDirCollapse such that faces of dimension one lower than the dimension of the complex are kept. The last approach —CollapseIsthmus—is also an extension of ParDirCollapse such that faces of dimension one lower than the complex are preserved when they do not contain free faces of dimension two lower than the complex. Paper: Chaussard, J. and Couprie, M., Surface Thinning in 3D Cubical Complexes, Combinatorial Image Analysis, (2009) 
CDGtal::functors::SphereFittingEstimator< TSurfel, TEmbedder, TNormalVectorEstimatorCache >::PatatePoint  
CLibBoard::Path  A path, according to Postscript and SVG definition 
CDGtal::Pattern< TFraction >  Aim: This class represents a pattern, i.e. the path between two consecutive upper leaning points on a digital straight line 
CDGtal::Pattern< Fraction >  
CDGtal::PGMReader< TImageContainer, TFunctor >  Aim: Import a 2D or 3D using the Netpbm formats (ASCII mode) 
CDGtal::PGMWriter< TImage, TFunctor >  Aim: Export a 2D and a 3D Image using the Netpbm PGM formats (ASCII mode) 
CDGtal::PlaneProbingDigitalSurfaceLocalEstimator< TSurface, TInternalProbingAlgorithm >  Aim: Adapt a planeprobing estimator on a digital surface to estimate normal vectors 
►CDGtal::PlaneProbingNeighborhood< TPredicate >  Aim: A base virtual class that represents a way to probe a neighborhood, used in the plane probing based estimators, see DGtal::PlaneProbingTetrahedronEstimator or DGtal::PlaneProbingParallelepipedEstimator 
CDGtal::PlaneProbingParallelepipedEstimator< TPredicate, mode >  Aim: 
CDGtal::PlaneProbingTetrahedronEstimator< TPredicate, mode >  Aim: A class that locally estimates a normal on a digital set using only a predicate "does a point x belong to the digital set or not?" 
CDGtal::PlaneProbingTetrahedronEstimator< NotAbovePredicate, mode >  
CLibBoard::Point  Struct representing a 2D point 
CDGtal::functors::Point2DEmbedderIn3D< TDomain3D, TInteger >  Aim: Functor that embeds a 2D point into a 3D space from two axis vectors and an origin point given in the 3D space 
CDGtal::functors::Point2ShapePredicate< TSurface, isUpward, isClosed >  
CDGtal::functors::Point2ShapePredicateComparator< T, b1, b2 >  Aim: A small struct with an operator that compares two values according to two bool template parameters 
CDGtal::functors::Point2ShapePredicateComparator< T, false, false >  Aim: A small struct with an operator that compares two values (<) 
CDGtal::functors::Point2ShapePredicateComparator< T, false, true >  Aim: A small struct with an operator that compares two values (<=) 
CDGtal::functors::Point2ShapePredicateComparator< T, true, false >  Aim: A small struct with an operator that compares two values (>) 
CDGtal::functors::Point2ShapePredicateComparator< T, true, true >  Aim: A small struct with an operator that compares two values (>=) 
CDGtal::functors::PointFunctorFromPointPredicateAndDomain< TPointPredicate, TDomain, TValue >  Create a point functor from a point predicate and a domain 
CDGtal::functors::PointFunctorHolder< TPoint, TValue, TFunctor >  Aim: hold any object callable on points as a DGtal::concepts::CPointFunctor model 
CDGtal::functors::PointFunctorPredicate< TPointFunctor, TPredicate >  Aim: The predicate returns true when the predicate returns true for the value assigned to a given point in the point functor 
CDGtal::PointListReader< TPoint >  Aim: Implements method to read a set of points represented in each line of a file 
CDGtal::detail::PointOnProbingRay< Integer >  
CDGtal::detail::PointValueCompare< T >  Aim: Small binary predicate to order candidates points according to their (absolute) distance value 
CDGtal::PointVector< dim, TEuclideanRing, TContainer >  Aim: Implements basic operations that will be used in Point and Vector classes 
CDGtal::PointVector< 2, double >  
CDGtal::PointVector< 2, Integer >  
CDGtal::PointVector< 3, double >  
CDGtal::PointVector< 3, InternalInteger >  
CDGtal::PointVector< 3, InternalScalar >  
CDGtal::PointVector< dim, Integer >  
CDGtal::PointVector< dim, InternalInteger >  
CDGtal::PointVector< Space::dimension, Real >  
CDGtal::functors::PolarPointComparatorBy2x2DetComputer< TPoint, TDetComputer >  Aim: Class that implements a binary point predicate, which is able to compare the position of two given points \( P, Q \) around a pole \( O \). More precisely, it compares the oriented angles lying between the horizontal line passing by \( O \) and the rays \( [OP) \) and \( [OQ) \) (in a counterclockwise orientation) 
CDGtal::PolygonalCalculus< TRealPoint, TRealVector >  Implements differential operators on polygonal surfaces from [43] 
CDGtal::PolygonalSurface< TPoint >  Aim: Represents a polygon mesh, i.e. a 2dimensional combinatorial surface whose faces are (topologically at least) simple polygons. The topology is stored with a halfedge data structure. This object stored the positions of vertices in space. If you need further data attached to the surface, you may use property maps (see PolygonalSurface::makeVertexMap ) 
CDGtal::detail::PosDepScaleDepSCEstimator< TSegmentComputer, Functor, ReturnType >  
►CDGtal::detail::PosDepScaleDepSCEstimator< DCAComputer, detail::DistanceFromDCA >  
CDGtal::detail::PosDepScaleIndepSCEstimator< TSegmentComputer, Functor, ReturnType >  
►CDGtal::detail::PosDepScaleIndepSCEstimator< DCAComputer, detail::NormalVectorFromDCA >  
►CDGtal::detail::PosDepScaleIndepSCEstimator< DCAComputer, detail::TangentVectorFromDCA >  
►CDGtal::detail::PosIndepScaleDepSCEstimator< TSegmentComputer, Functor, ReturnType >  
CDGtal::detail::PosIndepScaleDepSCEstimator< DCAComputer, detail::CurvatureFromDCA< true > >  
CDGtal::detail::PosIndepScaleIndepSCEstimator< TSegmentComputer, Functor, ReturnType >  
►CDGtal::detail::PosIndepScaleIndepSCEstimator< DSSComputer, detail::NormalizedTangentVectorFromDSS >  
►CDGtal::detail::PosIndepScaleIndepSCEstimator< DSSComputer, detail::TangentAngleFromDSS >  
►CDGtal::detail::PosIndepScaleIndepSCEstimator< DSSComputer, detail::TangentVectorFromDSS< DSSComputer > >  
CDGtal::functors::PositionFunctorFrom2DPoint< Vector, TPosition >  Functor that returns the position of any point/vector with respect to a digital straight line of shift myShift. We recall that the shift vector is a vector translating a point of remainder \( r \) to a point of remainder \( r + \omega \). See Digital straight lines and segments for further details 
CDGtal::POW< X, exponent >  
CDGtal::POW< X, 0 >  
CDGtal::POW< X, 1 >  
CDGtal::detail::power_node  
►CDGtal::PowerMap< TWeightImage, TPowerSeparableMetric, TImageContainer >  Aim: Implementation of the linear in time Power map construction 
CDGtal::PowerMap< TWeightImage, TPSeparableMetric, ImageContainerBySTLVector< HyperRectDomain< typename TWeightImage::Domain::Space >, typename TWeightImage::Domain::Space::Vector > >  
CDGtal::PPMReader< TImageContainer, TFunctor >  Aim: Import a 2D or 3D using the Netpbm formats (ASCII mode) 
CDGtal::PPMWriter< TImage, TFunctor >  Aim: Export a 2D and a 3D Image using the Netpbm PPM formats (ASCII mode) 
CDGtal::PreCellDirectionIterator< dim, TInteger >  This class is useful for looping on all "interesting" coordinates of a precell 
CDGtal::functors::PredicateCombiner< TPredicate1, TPredicate2, TBinaryFunctor >  Aim: The predicate returns true when the given binary functor returns true for the two Predicates given at construction 
CDGtal::functors::PredicateCombiner< Tlow, Tup, AndBoolFct2 >  
CDGtal::PredicateFromOrientationFunctor2< TOrientationFunctor, acceptNeg, acceptZero >  Aim: Small adapter to models of COrientationFunctor2. It is a model of concepts::CPointPredicate. It is also a ternary predicate on points, useful for basic geometric tasks such as convex hull computation 
CDGtal::PredicateFromOrientationFunctor2< Functor, false, false >  
CDGtal::PredicateFromOrientationFunctor2< Functor, true, false >  
CDGtal::Preimage2D< Shape >  Aim: Computes the preimage of the 2D Euclidean shapes crossing a sequence of n straigth segments in O(n), with the algorithm of O'Rourke (1981) 
CDGtal::PlaneProbingDigitalSurfaceLocalEstimator< TSurface, TInternalProbingAlgorithm >::ProbingFrame  
CDGtal::Profile< TValueFunctor, TValue >  Aim: This class can be used to represent a profile (PX, PY) defined from an input set of samples (Xi, Yi). For all sample (Xk, Yk) having the same value Xk, the associated value PY is computed (by default) by the mean of the values Yk. Note that other definitions can be used (MAX, MIN or MEDIAN). Internally each sample abscissa is an instance of DGtal::Statistic 
CDGtal::functors::Projector< S >  Aim: Functor that maps a point P of dimension i to a point Q of dimension j. The member myDims is an array containing the coordinates  (0, 1, ..., j1) by default  that are copied from P to Q 
CDGtal::functors::Projector< SpaceND< 2, Coordinate > >  
CDGtal::functors::Projector< SpaceND< 2, int > >  
CDGtal::promote_trait< A, B >  
CDGtal::promote_trait< int32_t, int64_t >  
CDGtal::DiscreteExteriorCalculus< dimEmbedded, dimAmbient, TLinearAlgebraBackend, TInteger >::Property  Holds size 'primal_size', 'dual_size', 'index' and 'flipped' for each cell of the DEC object. To avoid inserting both positive and negative cells in a DEC object, only non signed cells are stored internally 
►CQGLViewer  
CDGtal::QuantifiedColorMap< TColorMap >  Aim: A modifier class that quantifies any colormap into a given number of colors. It is particularly useful when rendering colored objects, since for instance blender is very slow to load many different materials 
CDGtal::functors::SphereFittingEstimator< TSurfel, TEmbedder, TNormalVectorEstimatorCache >::Quantity  Quantity type: a 3sphere (model of CQuantity) 
CDGtal::QuickHull< TKernel >  Aim: Implements the quickhull algorithm by Barber et al. [9], a famous arbitrary dimensional convex hull computation algorithm. It relies on dedicated geometric kernels for computing and comparing facet geometries 
Cboost::RandomAccessContainer< C >  Go to http://www.sgi.com/tech/stl/RandomAccessContainer.html 
Cboost::RandomAccessIterator< T >  Go to http://www.sgi.com/tech/stl/RandomAccessIterator.html 
Cboost_concepts::RandomAccessTraversalConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/RandomAccessTraversal.html 
CDGtal::RandomColorMap  Aim: access to random color from a gradientColorMap 
CDGtal::BoundedRationalPolytope< TSpace >::Rational  
CDGtal::RawReader< TImageContainer, TFunctor >  Aim: Raw binary import of an Image 
CDGtal::RawWriter< TImage, TFunctor >  Aim: Raw binary export of an Image 
CDGtal::DSLSubsegment< TInteger, TNumber >::RayC  
CDGtal::RayIntersectionPredicate< TPoint >  This class implements various intersection predicates between a ray and a triangle, a quad or a surfel in dimension 3 
Cboost_concepts::ReadableIteratorConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/ReadableIterator.html 
CDGtal::RealFFT< HyperRectDomain< TSpace >, T >  
CDGtal::StdMapRebinder::Rebinder< Key, Value >  
CLibBoard::Rect  Struct representing a rectangle on the plane 
CDGtal::functors::RedChannel  
CDGtal::ReducedMedialAxis< TPowerMap, TImageContainer >  Aim: Implementation of the separable medial axis extraction 
CDGtal::RegularBinner< TQuantity >  Aim: Represents an elementary functor that partitions quantities into regular intervals, given a range [min,max] range and a number nb of intervals (each interval is called a bin) 
CDGtal::RegularPointEmbedder< TSpace >  Aim: A simple point embedder where grid steps are given for each axis. Note that the real point (0,...,0) is mapped onto the digital point (0,...,0) 
CDGtal::RegularPointEmbedder< Space >  
CDGtal::functors::Rescaling< TInputType, TOutputType >  Aim: Functor allowing to rescale a value. Values of the initial scale [initMin,initMax] are rescaled to the new scale [newMin,newMax] 
Cboost::ReversibleContainer< C >  Go to http://www.sgi.com/tech/stl/ReversibleContainer.html 
CDGtal::BoundedLatticePolytope< TSpace >::RightStrictUnitCell  
CDGtal::BoundedLatticePolytope< TSpace >::RightStrictUnitSegment  
CDGtal::functors::Round< T >  Functor that rounds to the nearest integer 
CDGtal::functors::Round< void >  Functor that rounds to the nearest integer 
CDGtal::RowMajorStorage  Tag (empty structure) specifying a rowmajor storage order 
CDGtal::concepts::ConceptUtils::SameType< T1, T2 >  
CDGtal::concepts::ConceptUtils::SameType< T, T >  
CDGtal::SaturatedSegmentation< TSegmentComputer >  Aim: Computes the saturated segmentation, that is the whole set of maximal segments within a range given by a pair of ConstIterators (maximal segments are segments that cannot be included in greater segments) 
CDGtal::KhalimskyPreSpaceND< dim, TInteger >::SCellMap< Value >  
CDGtal::KhalimskySpaceND< dim, TInteger >::SCellMap< Value >  
CDGtal::Shortcuts< TKSpace >::SCellReader  
CDGtal::functors::SCellToArrow< KSpace >  Aim: transforms a signed cell into an arrow, ie. a pair pointvector 
CDGtal::functors::SCellToCode< KSpace >  Aim: transforms a 2d signed cell, basically a linel, into a code (0,1,2 or 3), 
CDGtal::functors::SCellToIncidentPoints< KSpace >  Aim: transforms a signed cell c into a pair of points corresponding to the signed cells of greater dimension that are indirectly and directly incident to c 
CDGtal::functors::SCellToInnerPoint< KSpace >  Aim: transforms a signed cell c into a point corresponding to the signed cell of greater dimension that is indirectly incident to c 
CDGtal::functors::deprecated::SCellToMidPoint< KSpace >  Aim: transforms a scell into a real point (the coordinates are divided by 2) 
CDGtal::functors::SCellToOuterPoint< KSpace >  Aim: transforms a signed cell c into a point corresponding to the signed cell of greater dimension that is directly incident to c 
CDGtal::functors::SCellToPoint< KSpace >  Aim: transforms a scell into a point 
CDGtal::Shortcuts< TKSpace >::SCellWriter  
CDGtal::GreedySegmentation< TSegmentComputer >::SegmentComputerIterator  Aim: Specific iterator to visit all the segments of a greedy segmentation 
CDGtal::SaturatedSegmentation< TSegmentComputer >::SegmentComputerIterator  Aim: Specific iterator to visit all the maximal segments of a saturated segmentation 
CDGtal::SegmentComputerTraits< SC >  Aim: Provides the category of the segment computer {ForwardSegmentComputer,BidirectionalSegmentComputer, DynamicSegmentComputer, DynamicBidirectionalSegmentComputer} 
CDGtal::Display3D< Space, KSpace >::SelectCallbackFctStore  
CDGtal::SeparableMetricAdapter< TMetric >  Aim: Adapts any model of CMetric to construct a separable metric (model of CSeparableMetric) 
Cboost::Sequence< C >  Go to http://www.sgi.com/tech/stl/Sequence.html 
CDGtal::SetFromImage< TSet >  Aim: Define utilities to convert a digital set into an image 
CDGtal::detail::SetFunctionsImpl< Container, associative, ordered >  Aim: Specialize set operations (union, intersection, difference, symmetric_difference) according to the given type of container. It uses standard algorithms when containers are ordered, otherwise it provides a default implementation 
CDGtal::detail::SetFunctionsImpl< Container, false, true >  
CDGtal::detail::SetFunctionsImpl< Container, true, false >  
CDGtal::detail::SetFunctionsImpl< Container, true, true >  
CDGtal::SetOfSurfels< TKSpace, TSurfelSet >  Aim: A model of CDigitalSurfaceContainer which defines the digital surface as connected surfels. The shape is determined by the set of surfels that composed the surface. The set of surfels is stored in this container 
CDGtal::deprecated::SetPredicate< TDigitalSet >  Aim: The predicate returning true iff the point is in the set given at construction. The set given at construction is aliased in the predicate and not cloned, which means that the lifetime of the set should exceed the lifetime of the predicate 
Cboost::SGIAssignable< T >  Go to http://www.boost.org/libs/concept_check/reference.htm 
►CLibBoard::Shape  Abstract structure for a 2D shape 
CDGtal::functors::ShapeGeometricFunctors::ShapeFirstPrincipalCurvatureFunctor< TShape >  Aim: A functor RealPoint > Quantity that returns the first principal curvature at given point (i.e. smallest principal curvature) 
CDGtal::functors::ShapeGeometricFunctors::ShapeFirstPrincipalDirectionFunctor< TShape >  Aim: A functor RealPoint > RealVector that returns the first principal direction at given point (i.e. direction of smallest principal curvature) 
CDGtal::functors::ShapeGeometricFunctors::ShapeGaussianCurvatureFunctor< TShape >  Aim: A functor RealPoint > Quantity that returns the gaussian curvature at given point 
CDGtal::functors::ShapeGeometricFunctors::ShapeMeanCurvatureFunctor< TShape >  Aim: A functor RealPoint > Quantity that returns the mean curvature at given point 
CDGtal::functors::ShapeGeometricFunctors::ShapeNormalVectorFunctor< TShape >  Aim: A functor RealPoint > Quantity that returns the normal vector at given point 
CDGtal::functors::ShapeGeometricFunctors::ShapePositionFunctor< TShape >  Aim: A functor RealPoint > Quantity that returns the position of the point itself 
CDGtal::functors::ShapeGeometricFunctors::ShapePrincipalCurvaturesAndDirectionsFunctor< TShape >  Aim: A functor RealPoint > (Scalar,Scalar,RealVector,RealVector that returns the principal curvatures and the principal directions as a tuple at given point (k1,k2,d1,d2) 
CDGtal::Shapes< TDomain >  Aim: A utility class for constructing different shapes (balls, diamonds, and others) 
CDGtal::functors::ShapeGeometricFunctors::ShapeSecondPrincipalCurvatureFunctor< TShape >  Aim: A functor RealPoint > Quantity that returns the second principal curvature at given point (i.e. greatest principal curvature) 
CDGtal::functors::ShapeGeometricFunctors::ShapeSecondPrincipalDirectionFunctor< TShape >  Aim: A functor RealPoint > RealVector that returns the second principal direction at given point (i.e. direction of second/greatest principal curvature) 
►CDGtal::Shortcuts< TKSpace >  Aim: This class is used to simplify shape and surface creation. With it, you can create new shapes and surface with few lines of code. The drawback is that you use specific types or objects, which could lead to faster code or more compact data structures 
CDGtal::TangencyComputer< TKSpace >::ShortestPaths  
CDGtal::ShroudsRegularization< TDigitalSurfaceContainer >  Aim: Implements the Shrouds Regularization algorithm of Nielson et al [90] 
CDGtal::Signal< TValue >  Aim: Represents a discrete signal, periodic or not. The signal can be passed by value since it is only cloned when modified 
CDGtal::Signal< Value >  
CDGtal::SignalData< TValue >  
Cboost::SignedInteger< T >  Go to http://www.sgi.com/tech/stl/SignedInteger.html 
CDGtal::SignedKhalimskyCell< dim, TInteger >  Represents a signed cell in a cellular grid space by its Khalimsky coordinates and a boolean value 
CDGtal::SignedKhalimskyPreCell< dim, TInteger >  Represents a signed cell in an unbounded cellular grid space by its Khalimsky coordinates and a boolean value 
CDGtal::SignedKhalimskyPreCell< dim, Integer >  
CDGtal::Simple2x2DetComputer< TArgumentInteger, TResultInteger >  Aim: Small class useful to compute the determinant of a 2x2 matrix from its four coefficients, ie. \( \begin{vmatrix} a & x \\ b & y \end{vmatrix} \) 
CDGtal::Simple2x2DetComputer< Integer >  
CDGtal::Simple2x2DetComputer< typename TPoint::Coordinate, DGtal::int64_t >  
Cboost::SimpleAssociativeContainer< C >  Go to http://www.sgi.com/tech/stl/SimpleAssociativeContainer.html 
CDGtal::SimpleConstRange< TConstIterator >  Aim: model of CConstRange that adapts any range of elements bounded by two iterators [itb, ite) and provides services to (circularly)iterate over it (in a readonly manner) 
CDGtal::SimpleDistanceColorMap< TValue >  Aim: simple blue to red colormap for distance information for instance 
CDGtal::SimpleIncremental2x2DetComputer< TArgumentInteger, TResultInteger >  Aim: Small class useful to compute, in an incremental way, the determinant of a 2x2 matrix from its four coefficients, ie. \( \begin{vmatrix} a & x \\ b & y \end{vmatrix} \) 
CDGtal::SimpleLinearRegression  Description of class 'SimpleLinearRegression' 
CDGtal::SimpleMatrix< TComponent, TM, TN >  Aim: implements basic MxN Matrix services (M,N>=1) 
CDGtal::SimpleMatrix< double, 3, 3 >  
CDGtal::SimpleMatrix< Integer, 3, 3 >  
CDGtal::SimpleMatrix< typename TSpace::RealVector::Component, TSpace::dimension, TSpace::dimension >  
CDGtal::SimpleMatrixSpecializations< TMatrix, TM, TN >  Aim: Implement internal matrix services for specialized matrix size 
CDGtal::SimpleMatrixSpecializations< TMatrix, 1, 1 >  Aim: 
CDGtal::SimpleMatrixSpecializations< TMatrix, 2, 2 >  Aim: 
CDGtal::SimpleMatrixSpecializations< TMatrix, 3, 3 >  Aim: 
CDGtal::SimpleRandomAccessConstRangeFromPoint< TConstIterator, DistanceFunctor >  Aim: model of CConstBidirectionalRangeFromPoint that adapts any range of elements bounded by two iterators [itb, ite) and provides services to (circularly)iterate over it (in a readonly manner) 
CDGtal::SimpleRandomAccessRangeFromPoint< TConstIterator, TIterator, DistanceFunctor >  Aim: model of CBidirectionalRangeFromPoint that adapts any range of elements bounded by two iterators [itb, ite) and provides services to (circularly)iterate over it (in a readonly manner) 
CDGtal::functors::SimpleThresholdForegroundPredicate< Image >  Aim: Define a simple Foreground predicate thresholding image values given a single thresold. More precisely, the functor operator() returns true if the value is greater than a given threshold 
Cboost_concepts::SinglePassIteratorConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/SinglePassIterator.html 
CDGtal::functors::SliceRotator2D< TDomain3D, TInteger >  Special Point Functor that adds one dimension to a 2D point and apply on it a rotation of angle alpha according to a given direction and the domain center. It also checks if the resulting point is inside the 3D domain, else it returns a particular point (by default the point at domain origin (from the domain method lowerBound()) 
Cboost::SortedAssociativeContainer< C >  Go to http://www.sgi.com/tech/stl/SortedAssociativeContainer.html 
CDGtal::SpaceND< dim, TInteger >  
CDGtal::SpaceND< 2, Integer >  
CDGtal::ImageContainerBySTLVector< TDomain, TValue >::SpanIterator  
CDGtal::SpatialCubicalSubdivision< TSpace >  Aim: This class is a data structure that subdivides a rectangular domains into cubical domains of size \( r^n \) in order to store points into different bins (each cubical domain is a bin, characterized by one coordinate). This data structure may be used for proximity queries, generally to get the points at distance r from a given point 
CDGtal::SpeedExtrapolator< TDistanceImage, TSet, TSpeedFunctor >  Aim: Class for the computation of the a speed value at some point p, from the available distance values and speed values of some points lying in the 1neighborhood of p (ie. points at a L1distance to p equal to 1) in order to extrapolate a speed field in the normal direction to the interface 
CDGtal::functors::SphereFittingEstimator< TSurfel, TEmbedder, TNormalVectorEstimatorCache >  Aim: Use Patate library to perform a local sphere fitting 
CDGtal::SphericalAccumulator< TVector >  Aim: implements an accumulator (as histograms for 1D scalars) adapted to spherical point samples 
CDGtal::SphericalAccumulator< RealPoint >  
CDGtal::functors::SphericalHoughNormalVectorEstimator< TSurfel, TEmbedder >  Aim: This functor estimates normal vector for a collection of surfels using spherical accumulator based Hough voting 
CDGtal::SphericalTriangle< TSpace >  Aim: Represent a triangle drawn onto a sphere of radius 1 
CDGtal::Splitter< TElement, TWord >  
CDGtal::Splitter< DGtal::PointVector, uint64_t >  
CDGtal::Splitter< Key >  
CDGtal::Splitter< Point >  
CDGtal::StabbingCircleComputer< TConstIterator >  Aim: Online recognition of a digital circular arcs (DCA) defined as a sequence of connected grid edges such that there is at least one (Euclidean) circle that separates the centers of the two incident pixels of each grid edge 
CDGtal::StabbingLineComputer< TConstIterator >  Aim: Online recognition of a digital straight segment (DSS) defined as a sequence of connected grid edges such that there is at least one straight line that separates the centers of the two incident pixels of each grid edge 
CDGtal::StandardDSLQ0< TFraction >  Aim: Represents a digital straight line with slope in the first quadrant (Q0: x >= 0, y >= 0 ) 
CDGtal::StandardDSS6Computer< TIterator, TInteger, connectivity >  Aim: Dynamic recognition of a 3ddigital straight segment (DSS) 
►CDGtal::StarShaped2D< TSpace >  
CDGtal::StarShaped2D< Space >  
►CDGtal::StarShaped3D< TSpace >  
CDGtal::AlphaThickSegmentComputer< TInputPoint, TConstIterator >::State  
CDGtal::ChordNaivePlaneComputer< TSpace, TInputPoint, TInternalScalar >::State  
CDGtal::COBANaivePlaneComputer< TSpace, TInternalInteger >::State  
CDGtal::UmbrellaComputer< TDigitalSurfaceTracker >::State  
CLibBoard::Board::State  
►Cboost::static_object  
►Cboost::static_visitor  
CDGtal::Statistic< TQuantity >  Aim: This class processes a set of sample values for one variable and can then compute different statistics, like sample mean, sample variance, sample unbiased variance, etc. It is minimalistic for space efficiency. For multiple variables, sample storage and others, see Statistics class 
CDGtal::Statistic< Value >  
CDGtal::STBReader< TImageContainer, TFunctor >  Aim: Image reader using the stb_image.h header only code 
CDGtal::STBWriter< TImageContainer, TFunctor >  Aim: Image Writer using the stb_image.h header only code 
CDGtal::StdMapRebinder  
CDGtal::SternBrocot< TInteger, TQuotient >  Aim: The SternBrocot tree is the tree of irreducible fractions. This class allows to construct it progressively and to navigate within fractions in O(1) time for most operations. It is well known that the structure of this tree is a coding of the continued fraction representation of fractions 
CDGtal::StraightLineFrom2Points< TPoint >  Aim: Represents a straight line uniquely defined by two 2D points and that is able to return for any given 2D point its signed distance to itself 
CDGtal::functors::StrictTruncationFunctor< Integer >  BinaryFunctor that computes the algebraic quotient i of a/b with any non zero fractional part discarded (truncation toward zero), and that returns i+1 (resp. i1) if a is negative (resp. positive) if b divides a. Since we assume that a is not equal to 0, we have \( i < a/b \). See also LargeTruncationFunctor 
CDGtal::Style2DFactory  
CDGtal::SpaceND< dim, TInteger >::Subcospace< codimension >  Define the type of a sub coSpace 
CDGtal::SpaceND< dim, TInteger >::Subspace< subdimension >  Define the type of a subspace 
CDGtal::SurfaceMesh< TRealPoint, TRealVector >  Aim: Represents an embedded mesh as faces and a list of vertices. Vertices may be shared among faces but no specific topology is required. However, you also have methods to navigate between neighbor vertices, faces, etc. The mesh can be equipped with normals at faces and/or vertices 
CDGtal::SurfaceMeshHelper< TRealPoint, TRealVector >  Aim: An helper class for building classical meshes 
CDGtal::SurfaceMeshMeasure< TRealPoint, TRealVector, TValue >  Aim: stores an arbitrary measure on a SurfaceMesh object. The measure can be spread onto its vertices, edges, or faces. This class is notably used by CorrectedNormalCurrentComputer and NormalCycleComputer to store the curvature measures, which may be located on different cells. The measure can be scalar or any other summable type (see template parameter TValue) 
CDGtal::SurfaceMeshReader< TRealPoint, TRealVector >  Aim: An helper class for reading mesh files (Wavefront OBJ at this point) and creating a SurfaceMesh 
CDGtal::SurfaceMeshWriter< TRealPoint, TRealVector >  Aim: An helper class for writing mesh file formats (Waverfront OBJ at this point) and creating a SurfaceMesh 
CDGtal::Surfaces< TKSpace >  Aim: A utility class for constructing surfaces (i.e. set of (n1)cells) 
CDGtal::SurfelAdjacency< dim >  Aim: Represent adjacencies between surfel elements, telling if it follows an interior to exterior ordering or exterior to interior ordering. It allows tracking of boundaries and of surfaces 
CDGtal::SurfelAdjacency< KSpace::dimension >  
CDGtal::DigitalSurface< TDigitalSurfaceContainer >::SurfelMap< Value >  
CDGtal::KhalimskyPreSpaceND< dim, TInteger >::SurfelMap< Value >  
CDGtal::KhalimskySpaceND< dim, TInteger >::SurfelMap< Value >  
CDGtal::SurfelNeighborhood< TKSpace >  Aim: This helper class is useful to compute the neighboring surfels of a given surfel, especially over a digital surface or over an object boundary. Two signed surfels are incident if they share a common n2 cell. This class uses a SurfelAdjacency so as to determine adjacent surfels (either looking for them from interior to exterior or inversely) 
CDGtal::SurfelNeighborhood< KSpace >  
CDGtal::functors::SurfelSetPredicate< TSurfelSet, TSurfel >  Aim: The predicate returning true iff the point is in the domain given at construction 
CDGtal::functors::SurfelSetPredicate< SurfelSet, Surfel >  
Cboost_concepts::SwappableIteratorConcept< Iterator >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/SwappableIterator.html 
CDGtal::TableReader< TQuantity >  Aim: Implements method to read a set of numbers represented in each line of a file 
CDGtal::TagFalse  
CDGtal::TagTrue  
CDGtal::TagUnknown  
CDGtal::TangencyComputer< TKSpace >  Aim: A class that computes tangency to a given digital set. It provides services to compute all the cotangent points to a given point, or to compute shortest paths 
CDGtal::detail::TangentAngleFromDSS  
CDGtal::TangentFromBinomialConvolverFunctor< TBinomialConvolver, TRealPoint >  Aim: This class is a functor for getting the tangent vector of a binomial convolver 
CDGtal::TangentFromDSS2DFunctor< DSS, LambdaFunction >  
CDGtal::TangentFromDSS3DBy2DFunctor  
CDGtal::TangentFromDSS3DFunctor< DSS, LambdaFunction >  
CDGtal::detail::TangentVectorFromDCA  
CDGtal::detail::TangentVectorFromDSS< DSS >  
CDGtal::Clone< T >::TempPtr  Internal class that is used for a late deletion of an acquired pointer 
CDGtal::functors::TensorVotingFeatureExtraction< TSurfel, TEmbedder >  Aim: Implements a functor to detect feature points from normal tensor voting strategy 
CDGtal::Viewer3D< TSpace, TKSpace >::TextureImage  
CDGtal::functors::Thresholder< T, isLower, isEqual >  Aim: A small functor with an operator () that compares one value to a threshold value according to two bool template parameters 
CDGtal::functors::Thresholder< ResultInteger, false, false >  
CDGtal::functors::Thresholder< T, false, false >  
CDGtal::functors::Thresholder< T, false, true >  
CDGtal::functors::Thresholder< T, true, false >  
CDGtal::functors::Thresholder< T, true, true >  
CDGtal::TickedColorMap< TValue, TColorMap >  Aim: This class adapts any colormap to add "ticks" in the colormap colors 
CDGtal::TiledImage< TImageContainer, TImageFactory, TImageCacheReadPolicy, TImageCacheWritePolicy >  Aim: implements a tiled image from a "bigger/original" one from an ImageFactory 
CDGtal::TiledImageBidirectionalConstRangeFromPoint< TTiledImage >  Aim: model of CConstBidirectionalRangeFromPoint that adapts a TiledImage range of elements bounded by two iterators [itb, ite) and provides services to (circularly)iterate over it (in a readonly manner) 
CDGtal::TiledImageBidirectionalRangeFromPoint< TTiledImage >  Aim: model of CBidirectionalRangeFromPoint that adapts a TiledImage range of elements bounded by two iterators [itb, ite) and provides services to (circularly)iterate over it 
CDGtal::TimeStampMemoizer< TKey, TValue >  Aim: A generic class to store a given maximum number of pairs (key, value). The class tends to memorize pairs which are accessed more frequently than others. It is thus a memoizer, which is used to memorize the result of costly computations. The memoization principle is simple: a timestamp is attached to a pair (key,value). Each time a query is made, if the item was memoized, the result is returned while the timestamp of the item is updated. User can also add or update a value in the memoizer, which updates also its timestamp. After adding a pair (key,value), if the maximal number of items is reached, at least the oldest half (or a fraction) of the items are deleted, leaving space for storing new pairs (key,value) 
CDGtal::TimeStampMemoizer< Configuration, bool >  
►CTMap  
CDGtal::detail::toCoordinateImpl< TInput, TOutput >  Aim: Define a simple functor that can cast a signed integer (possibly a DGtal::BigInteger) into another 
CDGtal::detail::toCoordinateImpl< DGtal::BigInteger, DGtal::BigInteger >  
CDGtal::detail::toCoordinateImpl< DGtal::BigInteger, TOutput >  
CDGtal::ToDGtalCategory< C >  Aim: Provides the DGtal category matching C {ForwardCategory,BidirectionalCategory,RandomAccessCategory} 
CDGtal::ToDGtalCategory< boost::bidirectional_traversal_tag >  
CDGtal::ToDGtalCategory< boost::forward_traversal_tag >  
CDGtal::ToDGtalCategory< boost::iterators::detail::iterator_category_with_traversal< std::input_iterator_tag, boost::bidirectional_traversal_tag > >  
CDGtal::ToDGtalCategory< boost::iterators::detail::iterator_category_with_traversal< std::input_iterator_tag, boost::forward_traversal_tag > >  
CDGtal::ToDGtalCategory< boost::iterators::detail::iterator_category_with_traversal< std::input_iterator_tag, boost::random_access_traversal_tag > >  
CDGtal::ToDGtalCategory< boost::random_access_traversal_tag >  
CDGtal::ToDGtalCategory< std::bidirectional_iterator_tag >  
CDGtal::ToDGtalCategory< std::forward_iterator_tag >  
CDGtal::ToDGtalCategory< std::random_access_iterator_tag >  
CDGtal::FrechetShortcut< TIterator, TInteger >::Tools  
CDGtal::detail::top_node  
CDGtal::Trace  Implementation of basic methods to trace out messages with indentation levels 
►CDGtal::TraceWriter  Virtual Class to implement trace writers 
CDGtal::DigitalSetBoundary< TKSpace, TDigitalSet >::Tracker  
CDGtal::ExplicitDigitalSurface< TKSpace, TSurfelPredicate >::Tracker  
CDGtal::ImplicitDigitalSurface< TKSpace, TPointPredicate >::Tracker  
CDGtal::LightExplicitDigitalSurface< TKSpace, TSurfelPredicate >::Tracker  
CDGtal::LightImplicitDigitalSurface< TKSpace, TPointPredicate >::Tracker  
CDGtal::SetOfSurfels< TKSpace, TSurfelSet >::Tracker  
CDGtal::ChordGenericStandardPlaneComputer< TSpace, TInputPoint, TInternalScalar >::Transform  
CDGtal::COBAGenericStandardPlaneComputer< TSpace, TInternalInteger >::Transform  
►CLibBoard::Transform  Base class for transforms 
►Cboost::transform_iterator  
CDGtal::HalfEdgeDataStructure::Triangle  Represents an unoriented triangle as three vertices 
CDGtal::TriangulatedSurface< TPoint >  Aim: Represents a triangulated surface. The topology is stored with a halfedge data structure. This object stored the positions of vertices in space. If you need further data attached to the surface, you may use property maps (see TriangulatedSurface::makeVertexMap ) 
►Cstd::true_type  
CDGtal::functors::TrueBoolFct0  
CDGtal::TrueDigitalSurfaceLocalEstimator< TKSpace, TShape, TGeometricFunctor >  Aim: An estimator on digital surfaces that returns the reference local geometric quantity. This is used for comparing estimators 
CDGtal::TrueGlobalEstimatorOnPoints< TConstIteratorOnPoints, TParametricShape, TParametricShapeFunctor >  Aim: Computes the true quantity associated to a parametric shape or to a subrange associated to a parametric shape 
CDGtal::TrueLocalEstimatorOnPoints< TConstIteratorOnPoints, TParametricShape, TParametricShapeFunctor >  Aim: Computes the true quantity to each element of a range associated to a parametric shape 
CDGtal::functors::Trunc< T >  Functor that rounds towards zero 
CDGtal::functors::Trunc< void >  Functor that rounds towards zero 
►CDGtal::TwoStepLocalLengthEstimator< TConstIterator >  Aim: a simple model of CGlobalCurveEstimator that compute the length of a curve using the l_1 metric (just add 1/h for every step) 
CDGtal::UmbrellaComputer< TDigitalSurfaceTracker >  Aim: Useful for computing umbrellas on 'DigitalSurface's, ie set of n1 cells around a n3 cell 
CDGtal::UmbrellaComputer< DigitalSurfaceTracker >  
Cboost::UnaryFunction< Func, Return, Arg >  Go to http://www.sgi.com/tech/stl/UnaryFunction.html 
CDGtal::functors::UnaryMinus< T >  
Cboost::UnaryPredicate< Func, Arg >  Go to http://www.sgi.com/tech/stl/Predicate.html 
Cboost::UniqueAssociativeContainer< C >  Go to http://www.sgi.com/tech/stl/UniqueAssociativeContainer.html 
CDGtal::BoundedLatticePolytope< TSpace >::UnitCell  
CDGtal::BoundedRationalPolytope< TSpace >::UnitCell  
CDGtal::BoundedLatticePolytope< TSpace >::UnitSegment  
CDGtal::BoundedRationalPolytope< TSpace >::UnitSegment  
CDGtal::UnorderedSetByBlock< Key, TSplitter, Hash, KeyEqual, UnorderedMapAllocator >  
CDGtal::UnorderedSetByBlock< DGtal::PointVector, DGtal::Splitter< DGtal::PointVector, uint64_t > >  
CDGtal::UnorderedSetByBlock< Point >  
Cboost::UnsignedInteger< T >  Go to http://www.boost.org/libs/concept_check/reference.htm 
CDGtal::PlaneProbingNeighborhood< TPredicate >::UpdateOperation  
CDGtal::TangentFromDSS2DFunctor< DSS, LambdaFunction >::Value  
CDGtal::TangentFromDSS3DFunctor< DSS, LambdaFunction >::Value  
CDGtal::LabelledMap< TData, L, TWord, N, M >::ValueCompare  Value comparator class. Always natural ordering between keys 
CDGtal::detail::ValueConverter< X, Y >  Generic definition of a class for converting type X toward type Y 
CDGtal::detail::ValueConverter< std::string, double >  Specialized definitions of a class for converting type X toward type Y 
CDGtal::detail::ValueConverter< std::string, float >  Specialized definitions of a class for converting type X toward type Y 
CDGtal::detail::ValueConverter< std::string, int >  Specialized definitions of a class for converting type X toward type Y 
CDGtal::detail::ValueConverter< X, std::string >  Specialized definitions of a class for converting type X toward type Y 
CDGtal::AngleLinearMinimizer::ValueInfo  
CDGtal::IndexedListWithBlocks< TValue, N, M >::ValueOrBlockPointer  Used in blocks to finish it or to point to the next block 
CDGtal::Shortcuts< TKSpace >::ValueReader< Value >  
CDGtal::Shortcuts< TKSpace >::ValueWriter< Value >  
CDGtal::functors::VCMAbsoluteCurvatureFunctor< TVCMOnDigitalSurface >  Aim: A functor Surfel > Quantity that returns the absolute curvature at given surfel. This class has meaning only in 2D 
CDGtal::VCMDigitalSurfaceLocalEstimator< TDigitalSurfaceContainer, TSeparableMetric, TKernelFunction, TVCMGeometricFunctor >  Aim: This class adapts a VoronoiCovarianceMeasureOnDigitalSurface to be a model of CDigitalSurfaceLocalEstimator. It uses the Voronoi Covariance Measure to estimate geometric quantities. The type TVCMGeometricFunctor specifies which is the estimated quantity. For instance, VCMGeometricFunctors::VCMNormalVectorFunctor returns the estimated VCM surface outward normal for given surfels 
CDGtal::functors::VCMFirstPrincipalAbsoluteCurvatureFunctor< TVCMOnDigitalSurface >  Aim: A functor Surfel > Quantity that returns the first principal absolute curvature (greatest curvature) at given surfel. This class has meaning only in 3D 
CDGtal::functors::VCMMeanAbsoluteCurvatures3DFunctor< TVCMOnDigitalSurface >  Aim: A functor Surfel > Quantity that returns the mean of absolute curvatures at given surfel: (abs(k1)+abs(k2))/2. This class has meaning only in 3D 
CDGtal::functors::VCMNormalVectorFunctor< TVCMOnDigitalSurface >  Aim: A functor Surfel > Quantity that returns the outer normal vector at given surfel 
CDGtal::functors::VCMSecondPrincipalAbsoluteCurvatureFunctor< TVCMOnDigitalSurface >  Aim: A functor Surfel > Quantity that returns the second principal absolute curvature (smallest curvature) at given surfel. This class has meaning only in 3D 
►Cstd::vector< T >  STL class 
CDGtal::VectorField< TCalculus, duality >  Aim: VectorField represents a discrete vector field in the dec package. Vector field values are attached to 0cells with the same duality as the vector field 
CDGtal::functors::VectorRounding< TRealVector, TVector >  
CDGtal::functors::VectorRounding< typename TSpace::RealPoint, typename TSpace::Point >  
CDGtal::VectorsInHeat< TPolygonalCalculus >  This class implements [109] on polygonal surfaces (using Discrete differential calculus on polygonal surfaces) 
►Cvertex_list_graph_tag  
CDGtal::GraphVisitorRange< TGraphVisitor >::VertexAccessor  
Cboost::VertexListGraphConcept< G >  Go to http://www.boost.org/doc/libs/1_52_0/libs/graph/doc/VertexListGraph.html 
CDGtal::concepts::CUndirectedSimpleLocalGraph< T >::VertexMap< Value >  
CDGtal::DigitalSurface< TDigitalSurfaceContainer >::VertexMap< Value >  
CDGtal::DomainAdjacency< TDomain, TAdjacency >::VertexMap< Value >  
CDGtal::IndexedDigitalSurface< TDigitalSurfaceContainer >::VertexMap< Value >  
CDGtal::LightExplicitDigitalSurface< TKSpace, TSurfelPredicate >::VertexMap< Value >  
CDGtal::LightImplicitDigitalSurface< TKSpace, TPointPredicate >::VertexMap< Value >  
CDGtal::MetricAdjacency< TSpace, maxNorm1, dimension >::VertexMap< Value >  
CDGtal::Object< TDigitalTopology, TDigitalSet >::VertexMap< Value >  
CDGtal::PolygonalSurface< TPoint >::VertexMap< Value >  
CDGtal::SurfaceMesh< TRealPoint, TRealVector >::VertexMap< Value >  
CDGtal::TriangulatedSurface< TPoint >::VertexMap< Value >  
CDGtal::VolReader< TImageContainer, TFunctor >  Aim: implements methods to read a "Vol" file format 
CDGtal::VolWriter< TImage, TFunctor >  Aim: Export a 3D Image using the Vol formats 
CDGtal::VoronoiCovarianceMeasure< TSpace, TSeparableMetric >  Aim: This class precomputes the Voronoi Covariance Measure of a set of points. It can compute the covariance measure of an arbitrary function with given support 
CDGtal::VoronoiCovarianceMeasure< Space, Metric >  
CDGtal::VoronoiCovarianceMeasureOnDigitalSurface< TDigitalSurfaceContainer, TSeparableMetric, TKernelFunction >  Aim: This class specializes the Voronoi covariance measure for digital surfaces. It adds notably the embedding of surface elements, the diagonalisation of the VCM, and the orientation of the first VCM eigenvector toward the interior of the surface 
►CDGtal::VoronoiMap< TSpace, TPointPredicate, TSeparableMetric, TImageContainer >  Aim: Implementation of the linear in time Voronoi map construction 
CDGtal::VoronoiMap< TSpace, TPointPredicate, TSeparableMetric, ImageContainerBySTLVector< HyperRectDomain< TSpace >, typename TSpace::Vector > >  
CDGtal::VoronoiMapComplete< TSpace, TPointPredicate, TSeparableMetric, TImageContainer >  Aim: Implementation of the linear in time Voronoi map construction 
CDGtal::Warning_promote_trait_not_specialized_for_this_case  
Cboost_concepts::WritableIteratorConcept< Iterator, ValueType >  Go to http://www.boost.org/doc/libs/1_52_0/libs/iterator/doc/WritableIterator.html 
CDGtal::Xe_kComputer< n, Ring, Alloc >  
CDGtal::Xe_kComputer< 0, Ring, Alloc >  
CDGtal::functors::XorBoolFct2 