testLocalConvolutionNormalVectorEstimator.cpp File Reference

#include <iostream>
#include "ConfigTest.h"
#include "DGtal/base/Common.h"
#include "DGtal/topology/DigitalSurface.h"
#include "DGtal/topology/DigitalSetBoundary.h"
#include "DGtal/topology/ImplicitDigitalSurface.h"
#include "DGtal/topology/LightImplicitDigitalSurface.h"
#include "DGtal/topology/ExplicitDigitalSurface.h"
#include "DGtal/topology/LightExplicitDigitalSurface.h"
#include "DGtal/graph/BreadthFirstVisitor.h"
#include "DGtal/topology/helpers/FrontierPredicate.h"
#include "DGtal/topology/helpers/BoundaryPredicate.h"
#include "DGtal/graph/CUndirectedSimpleLocalGraph.h"
#include "DGtal/graph/CUndirectedSimpleGraph.h"
#include "DGtal/io/readers/VolReader.h"
#include "DGtal/images/imagesSetsUtils/SetFromImage.h"
#include "DGtal/io/viewers/PolyscopeViewer.h"
#include "DGtal/images/ImageSelector.h"
#include "DGtal/shapes/Shapes.h"
#include "DGtal/helpers/StdDefs.h"
#include "DGtal/geometry/surfaces/estimation/LocalEstimatorFromSurfelFunctorAdapter.h"
#include "DGtal/geometry/surfaces/estimation/estimationFunctors/ElementaryConvolutionNormalVectorEstimator.h"
#include "DGtal/geometry/volumes/distance/LpMetric.h"

Include dependency graph for testLocalConvolutionNormalVectorEstimator.cpp:

Go to the source code of this file.

Functions
bool	testLocalConvolutionNormalVectorEstimator (int argc, char **argv)
int	main (int argc, char **argv)

Detailed Description

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

Author

David Coeurjolly (david.nosp@m..coe.nosp@m.urjol.nosp@m.ly@l.nosp@m.iris..nosp@m.cnrs.nosp@m..fr ) Laboratoire d'InfoRmatique en Image et Systèmes d'information - LIRIS (CNRS, UMR 5205), CNRS, France

Date

2012/03/03

Functions for testing class LocalConvolutionNormalVectorEstimator.

This file is part of the DGtal library.

Definition in file testLocalConvolutionNormalVectorEstimator.cpp.

Function Documentation

main()

int main	(	int	argc,
		char **	argv )

Definition at line 175 of file testLocalConvolutionNormalVectorEstimator.cpp.

{
    trace.beginBlock ( "Testing class LocalConvolutionNormalVectorEstimator" );
    trace.info() << "Args:";
    for ( int i = 0; i < argc; ++i )
        trace.info() << " " << argv[ i ];
    trace.info() << endl;
 
    bool res = testLocalConvolutionNormalVectorEstimator ( argc,argv ); // && ... other tests
    trace.emphase() << ( res ? "Passed." : "Error." ) << endl;
    trace.endBlock();
    
    return (res ? 0:1);
}

References testLocalConvolutionNormalVectorEstimator(), and DGtal::trace.

testLocalConvolutionNormalVectorEstimator()

bool testLocalConvolutionNormalVectorEstimator	(	int	argc,
		char **	argv )

Example of a test. To be completed.

Definition at line 71 of file testLocalConvolutionNormalVectorEstimator.cpp.

{
    trace.beginBlock ( "Testing convolution neighborhood ..." );
 
    std::string filename = testPath + "samples/cat10.vol";
 
    typedef ImageSelector < Z3i::Domain, int>::Type Image;
    Image image = VolReader<Image>::importVol ( filename );
    trace.info() <<image<<std::endl;
    DigitalSet set3d ( image.domain() );
    SetFromImage<DigitalSet>::append<Image> ( set3d, image,
            0,256 );
 
    KSpace ks;
    bool space_ok = ks.init ( image.domain().lowerBound(),
                              image.domain().upperBound(), true );
    if ( !space_ok )
    {
        trace.error() << "Error in the Khamisky space construction."<<std::endl;
        return true; //2; (return a bool !!!)
    }
    trace.endBlock();
    typedef SurfelAdjacency<KSpace::dimension> MySurfelAdjacency;
    MySurfelAdjacency surfAdj ( true ); // interior in all directions.
 
    trace.beginBlock ( "Set up digital surface." );
    typedef LightImplicitDigitalSurface<KSpace, DigitalSet >
      MyDigitalSurfaceContainer;
    typedef DigitalSurface<MyDigitalSurfaceContainer> MyDigitalSurface;
    SCell bel = Surfaces<KSpace>::findABel ( ks, set3d, 100000 );
    MyDigitalSurfaceContainer* ptrSurfContainer =
        new MyDigitalSurfaceContainer ( ks, set3d, surfAdj, bel );
    MyDigitalSurface digSurf ( ptrSurfContainer ); // acquired
 
    MyDigitalSurface::ConstIterator it = digSurf.begin();
 
 
    //Convolution kernel
    typedef MyDigitalSurface::Surfel Surfel;
    typedef DGtal::functors::ConstValue< double > ConvFunctor;
 
    LpMetric<Z3i::Space> l1(1.0);
    CanonicSCellEmbedder<KSpace> embedder(digSurf.container().space());
    
    typedef DGtal::functors::ElementaryConvolutionNormalVectorEstimator<Surfel, CanonicSCellEmbedder<KSpace>> Functor;
    typedef LocalEstimatorFromSurfelFunctorAdapter<MyDigitalSurfaceContainer, LpMetric<Z3i::Space>,
                                                   Functor, ConvFunctor> MyEstimator;
    ConvFunctor kernel(1.0);
    Functor estimator(embedder, 1.0);
 
    MyEstimator myNormalEstimator;
    myNormalEstimator.attach(digSurf);
    myNormalEstimator.setParams(l1, estimator, kernel, 5.0); 
    myNormalEstimator.init(1.0, digSurf.begin(), digSurf.end());
    
    MyEstimator::Quantity res = myNormalEstimator.eval ( it );
    trace.info() << "Normal vector at begin() : "<< res << std::endl;
    
    DGtal::PolyscopeViewer<Space,KSpace> viewer(ks);
    viewer.allowReuseList = true; // Enable auto grouping, which is to some extend, way better
    
    // KCell will be rendered as quads (not signed)
    viewer.newQuadList("Constant estimator");
    for ( MyDigitalSurface::ConstIterator itbis = digSurf.begin(),itend=digSurf.end();
            itbis!=itend; ++itbis )
    {
        Point center = ks.sCoords ( *itbis );
        MyEstimator::Quantity normal = myNormalEstimator.eval ( itbis );
        viewer << Color(200, 0, 0) << WithQuantity(ks.unsigns( *itbis ), "normal", -normal);
    }
 
    //Convolution kernel
    typedef DGtal::functors::GaussianKernel ConvFunctorGaussian;
    typedef LocalEstimatorFromSurfelFunctorAdapter<MyDigitalSurfaceContainer, LpMetric<Z3i::Space>,
                                                   Functor, ConvFunctorGaussian> MyEstimatorGaussian;
    
    ConvFunctorGaussian kernelGaussian(14.0);
    Functor estimatorGaussian(embedder, 1.0); // Passed by alias, can't reuse previous
 
    MyEstimatorGaussian myNormalEstimatorG;
    myNormalEstimatorG.attach(digSurf);
    myNormalEstimatorG.setParams(l1, estimatorGaussian, kernelGaussian, 15.0); 
    myNormalEstimatorG.init(1.0, digSurf.begin(), digSurf.end());
 
    MyEstimatorGaussian::Quantity res2 = myNormalEstimatorG.eval ( it );
    trace.info() << "Normal vector at begin() : "<< res2 << std::endl;
 
    // KCell will be rendered as quads (not signed)
    viewer.newQuadList("Gaussian estimator");
    for ( MyDigitalSurface::ConstIterator itbis = digSurf.begin(),itend=digSurf.end();
            itbis!=itend; ++itbis )
    {
        Point center = ks.sCoords ( *itbis );
        MyEstimatorGaussian::Quantity normal = myNormalEstimatorG.eval ( itbis );
        viewer << Color(200, 0, 0) << WithQuantity(ks.unsigns( *itbis ), "normal", -normal);
    }
 
    viewer.show();
    return 0;
}

References DGtal::Display3D< Space, KSpace >::allowReuseList, DGtal::SetFromImage< TSet >::append(), DGtal::DigitalSurface< TDigitalSurfaceContainer >::begin(), DGtal::DigitalSurface< TDigitalSurfaceContainer >::container(), DGtal::DigitalSurface< TDigitalSurfaceContainer >::end(), DGtal::Surfaces< TKSpace >::findABel(), image(), DGtal::VolReader< TImageContainer, TFunctor >::importVol(), DGtal::KhalimskySpaceND< dim, TInteger >::init(), DGtal::Display3D< Space, KSpace >::newQuadList(), DGtal::KhalimskySpaceND< dim, TInteger >::sCoords(), DGtal::PolyscopeViewer< Space, KSpace >::show(), DGtal::DigitalSetBoundary< TKSpace, TDigitalSet >::space(), DGtal::trace, and DGtal::KhalimskySpaceND< dim, TInteger >::unsigns().

Referenced by main().