3dCurvatureViewerNoise.cpp

#include <iostream>
#include "DGtal/base/Common.h"
#include <cstring>

#include <boost/program_options/options_description.hpp>
#include <boost/program_options/parsers.hpp>
#include <boost/program_options/variables_map.hpp>

// Shape constructors
#include "DGtal/io/readers/GenericReader.h"
#include "DGtal/images/ImageSelector.h"
#include "DGtal/images/imagesSetsUtils/SetFromImage.h"
#include "DGtal/images/IntervalForegroundPredicate.h"
#include "DGtal/topology/SurfelAdjacency.h"
#include "DGtal/topology/helpers/Surfaces.h"
#include "DGtal/topology/LightImplicitDigitalSurface.h"
#include <DGtal/topology/SetOfSurfels.h>

#include "DGtal/images/ImageHelper.h"
#include "DGtal/topology/DigitalSurface.h"
#include "DGtal/graph/DepthFirstVisitor.h"
#include "DGtal/graph/GraphVisitorRange.h"

// Noise
#include "DGtal/geometry/volumes/KanungoNoise.h"

// Integral Invariant includes
#include "DGtal/geometry/surfaces/estimation/IIGeometricFunctors.h"
#include "DGtal/geometry/surfaces/estimation/IntegralInvariantVolumeEstimator.h"
#include "DGtal/geometry/surfaces/estimation/IntegralInvariantCovarianceEstimator.h"

// Drawing
#include "DGtal/io/boards/Board3D.h"
#include "DGtal/io/colormaps/GradientColorMap.h"

#ifdef WITH_VISU3D_QGLVIEWER
#include "DGtal/io/viewers/Viewer3D.h"
#endif

using namespace DGtal;
using namespace functors;

const Color  AXIS_COLOR_RED( 200, 20, 20, 255 );
const Color  AXIS_COLOR_GREEN( 20, 200, 20, 255 );
const Color  AXIS_COLOR_BLUE( 20, 20, 200, 255 );
const double AXIS_LINESIZE = 0.05;


void missingParam( std::string param )
{
  trace.error() << " Parameter: " << param << " is required.";
  trace.info() << std::endl;
}

namespace po = boost::program_options;

int main( int argc, char** argv )
{
  // parse command line ----------------------------------------------
  po::options_description general_opt("Allowed options are");
  general_opt.add_options()
    ("help,h", "display this message")
    ("input,i", po::value< std::string >(), ".vol file")
    ("radius,r",  po::value< double >(), "Kernel radius for IntegralInvariant" )
    ("noise,k",  po::value< double >()->default_value(0.5), "Level of Kanungo noise ]0;1[" )
    ("threshold,t",  po::value< unsigned int >()->default_value(8), "Min size of SCell boundary of an object" )
    ("minImageThreshold,l",  po::value<  int >()->default_value(0), "set the minimal image threshold to define the image object (object defined by the voxel with intensity belonging to ]minImageThreshold, maxImageThreshold ] )." )
    ("maxImageThreshold,u",  po::value<  int >()->default_value(255), "set the minimal image threshold to define the image object (object defined by the voxel with intensity belonging to ]minImageThreshold, maxImageThreshold] )." )
    ("mode,m", po::value< std::string >()->default_value("mean"), "type of output : mean, gaussian, k1, k2, prindir1, prindir2 or normal(default mean)")
    ("exportOBJ,o", po::value< std::string >(), "Export the scene to specified OBJ/MTL filename (extensions added)." )
    ("exportDAT,d", po::value<std::string>(), "Export resulting curvature (for mean, gaussian, k1 or k2 mode) in a simple data file each line representing a surfel. ")
    ("exportOnly", "Used to only export the result without the 3d Visualisation (usefull for scripts)." )
    ("imageScale,s", po::value<std::vector<double> >()->multitoken(), "scaleX, scaleY, scaleZ: re sample the source image according with a grid of size 1.0/scale (usefull to compute curvature on image defined on anisotropic grid). Set by default to 1.0 for the three axis.  ")
    ("normalization,n", "When exporting to OBJ, performs a normalization so that the geometry fits in [-1/2,1/2]^3") ;

  bool parseOK = true;
  po::variables_map vm;
  try
    {
      po::store( po::parse_command_line( argc, argv, general_opt ), vm );
    }
  catch( const std::exception & ex )
    {
      parseOK = false;
      trace.error() << " Error checking program options: " << ex.what() << std::endl;
    }
  bool neededArgsGiven=true;

  if (parseOK && !(vm.count("input"))){
    missingParam("--input");
    neededArgsGiven=false;
  }
  if (parseOK && !(vm.count("radius"))){
    missingParam("--radius");
    neededArgsGiven=false;
  }

  bool normalization = false;
  if (parseOK && vm.count("normalization"))
    normalization = true;

  std::string mode;
  if( parseOK )
    mode =  vm["mode"].as< std::string >();
  if ( parseOK && ( mode.compare("gaussian") != 0 ) && ( mode.compare("mean") != 0 ) &&
       ( mode.compare("k1") != 0 ) && ( mode.compare("k2") != 0 ) &&
       ( mode.compare("prindir1") != 0 ) && ( mode.compare("prindir2") != 0 )&& ( mode.compare("normal") != 0 ))
    {
      parseOK = false;
      trace.error() << " The selected mode ("<<mode << ") is not defined."<<std::endl;
    }

  double noiseLevel = vm["noise"].as< double >();
  if( noiseLevel < 0.0 || noiseLevel > 1.0 )
    {
      parseOK = false;
      trace.error() << "The noise level should be in the interval: ]0, 1["<< std::endl;
    }

#ifndef WITH_VISU3D_QGLVIEWER
  bool enable_visu = false;
#else
  bool enable_visu = !vm.count("exportOnly"); 
#endif
  bool enable_obj = vm.count("exportOBJ"); 
  bool enable_dat = vm.count("exportDAT"); 

  if( !enable_visu && !enable_obj && !enable_dat )
    {
#ifndef WITH_VISU3D_QGLVIEWER
      trace.error() << "You should specify what you want to export with --export and/or --exportDat." << std::endl;
#else
      trace.error() << "You should specify what you want to export with --export and/or --exportDat, or remove --exportOnly." << std::endl;
#endif
      neededArgsGiven = false;
    }

  if(!neededArgsGiven || !parseOK || vm.count("help") || argc <= 1 )
    {
      trace.info()<< "Visualisation of 3d curvature from .vol file using curvature from Integral Invariant" <<std::endl
                  << general_opt << "\n"
                  << "Basic usage: "<<std::endl
                  << "\t3dCurvatureViewerNoise -i file.vol --radius 5 --mode mean --noise 0.5"<<std::endl
                  << std::endl
                  << "Below are the different available modes: " << std::endl
                  << "\t - \"mean\" for the mean curvature" << std::endl
                  << "\t - \"gaussian\" for the Gaussian curvature" << std::endl
                  << "\t - \"k1\" for the first principal curvature" << std::endl
                  << "\t - \"k2\" for the second principal curvature" << std::endl
                  << "\t - \"prindir1\" for the first principal curvature direction" << std::endl
                  << "\t - \"prindir2\" for the second principal curvature direction" << std::endl
                  << "\t - \"normal\" for the normal vector" << std::endl
                  << std::endl;
      return 0;
    }
  unsigned int threshold = vm["threshold"].as< unsigned int >();
  int minImageThreshold =  vm["minImageThreshold"].as<  int >();
  int maxImageThreshold =  vm["maxImageThreshold"].as<  int >();

  double h = 1.0;

  std::string export_obj_filename;
  std::string export_dat_filename;

  if( enable_obj )
    {
      export_obj_filename = vm["exportOBJ"].as< std::string >();
      if( export_obj_filename.find(".obj") == std::string::npos )
        {
          std::ostringstream oss;
          oss << export_obj_filename << ".obj" << std::endl;
          export_obj_filename = oss.str();
        }
    }


  if( enable_dat )
    {
      export_dat_filename = vm["exportDAT"].as<std::string>();
    }

  double re_convolution_kernel = vm["radius"].as< double >();


  std::vector<  double > aGridSizeReSample;
  if( vm.count( "imageScale" ))
    {
      std::vector< double> vectScale = vm["imageScale"].as<std::vector<double > >();
      if( vectScale.size() != 3 )
        {
          trace.error() << "The grid size should contains 3 elements" << std::endl;
          return 0;
        }
      else
        {
          aGridSizeReSample.push_back(1.0/vectScale.at(0));
          aGridSizeReSample.push_back(1.0/vectScale.at(1));
          aGridSizeReSample.push_back(1.0/vectScale.at(2));
        }
    }
  else
    {
      aGridSizeReSample.push_back(1.0);
      aGridSizeReSample.push_back(1.0);
      aGridSizeReSample.push_back(1.0);
    }



  // Construction of the shape from vol file
  typedef Z3i::Space::RealPoint RealPoint;
  typedef Z3i::Point Point;
  typedef ImageSelector< Z3i::Domain,  int>::Type Image;
  typedef DGtal::functors::BasicDomainSubSampler< HyperRectDomain<SpaceND<3, int> >,
                                                  DGtal::int32_t, double >   ReSampler;
  typedef DGtal::ConstImageAdapter<Image, Image::Domain, ReSampler,
                                   Image::Value,  DGtal::functors::Identity >  SamplerImageAdapter;
  typedef IntervalForegroundPredicate< SamplerImageAdapter > ImagePredicate;
  typedef KanungoNoise< ImagePredicate, Z3i::Domain > KanungoPredicate;
  typedef BinaryPointPredicate<DomainPredicate<Image::Domain>, KanungoPredicate, AndBoolFct2  > Predicate;
  typedef Z3i::KSpace KSpace;
  typedef KSpace::SCell SCell;
  typedef KSpace::Cell Cell;

  trace.beginBlock("Loading the file");
  std::string filename = vm["input"].as< std::string >();
  Image image = GenericReader<Image>::import( filename );

  PointVector<3,int> shiftVector3D( 0 ,0, 0 );
  DGtal::functors::BasicDomainSubSampler< HyperRectDomain< SpaceND< 3, int > >,
                                          DGtal::int32_t, double > reSampler(image.domain(),
                                                                             aGridSizeReSample,  shiftVector3D);
  const functors::Identity identityFunctor{};
  SamplerImageAdapter sampledImage ( image, reSampler.getSubSampledDomain(), reSampler, identityFunctor );
  ImagePredicate predicateIMG = ImagePredicate( sampledImage,  minImageThreshold, maxImageThreshold );
  KanungoPredicate noisifiedPredicateIMG( predicateIMG, sampledImage.domain(), noiseLevel );
  DomainPredicate<Z3i::Domain> domainPredicate( sampledImage.domain() );
  AndBoolFct2 andF;
  Predicate predicate(domainPredicate, noisifiedPredicateIMG, andF  );


  Z3i::Domain domain =  sampledImage.domain();
  Z3i::KSpace K;
  bool space_ok = K.init( domain.lowerBound()-Z3i::Domain::Point::diagonal(),
                          domain.upperBound()+Z3i::Domain::Point::diagonal(), true );
  if (!space_ok)
    {
      trace.error() << "Error in the Khalimsky space construction."<<std::endl;
      return 2;
    }
  CanonicSCellEmbedder< KSpace > embedder( K );
  SurfelAdjacency< Z3i::KSpace::dimension > Sadj( true );
  trace.endBlock();
  // Viewer settings


  // Extraction of components
  typedef KSpace::SurfelSet SurfelSet;
  typedef SetOfSurfels< KSpace, SurfelSet > MySetOfSurfels;
  typedef DigitalSurface< MySetOfSurfels > MyDigitalSurface;



  trace.beginBlock("Extracting surfaces");
  std::vector< std::vector<SCell > > vectConnectedSCell;
  Surfaces<KSpace>::extractAllConnectedSCell(vectConnectedSCell,K, Sadj, predicate, false);
  std::ofstream outDat;
  if( enable_dat )
    {
      trace.info() << "Exporting curvature as dat file: "<< export_dat_filename <<std::endl;
      outDat.open( export_dat_filename.c_str() );
      outDat << "# data exported from 3dCurvatureViewer implementing the II curvature estimator (Coeurjolly, D.; Lachaud, J.O; Levallois, J., (2013). Integral based Curvature"
             << "  Estimators in Digital Geometry. DGCI 2013.) " << std::endl;
      outDat << "# format: surfel coordinates (in Khalimsky space) curvature: "<< mode <<  std::endl;
    }

  trace.info()<<"Number of components= "<<vectConnectedSCell.size()<<std::endl;
  trace.endBlock();

  if( vectConnectedSCell.size() == 0 )
    {
      trace.error()<< "No surface component exists. Please check the vol file threshold parameter.";
      trace.info()<<std::endl;
      exit(2);
    }

#ifdef WITH_VISU3D_QGLVIEWER
  QApplication application( argc, argv );
  typedef Viewer3D<Z3i::Space, Z3i::KSpace> Viewer;
#endif
  typedef Board3D<Z3i::Space, Z3i::KSpace> Board;

#ifdef WITH_VISU3D_QGLVIEWER
  Viewer viewer( K );
#endif
  Board board( K );

#ifdef WITH_VISU3D_QGLVIEWER
  if( enable_visu )
    {
      viewer.show();
    }
#endif

  unsigned int i = 0;
  unsigned int max_size = 0;
  for( unsigned int ii = 0; ii<vectConnectedSCell.size(); ++ii )
    {
      if( vectConnectedSCell[ii].size() <= threshold )
        {
          continue;
        }
      if( vectConnectedSCell[ii].size() > max_size )
        {
          max_size = vectConnectedSCell[ii].size();
          i = ii;
        }
    }

  MySetOfSurfels  aSet(K, Sadj);

  for( std::vector<SCell>::const_iterator it = vectConnectedSCell.at(i).begin();
       it != vectConnectedSCell.at(i).end();
       ++it )
    {
      aSet.surfelSet().insert( *it);
    }

  MyDigitalSurface digSurf( aSet );


  typedef DepthFirstVisitor<MyDigitalSurface> Visitor;
  typedef GraphVisitorRange< Visitor > VisitorRange;
  typedef VisitorRange::ConstIterator SurfelConstIterator;
  VisitorRange range( new Visitor( digSurf, *digSurf.begin() ) );
  SurfelConstIterator abegin = range.begin();
  SurfelConstIterator aend = range.end();

  VisitorRange range2( new Visitor( digSurf, *digSurf.begin() ) );
  SurfelConstIterator abegin2 = range2.begin();

  trace.beginBlock("Curvature computation on a component");
  if( ( mode.compare("gaussian") == 0 ) || ( mode.compare("mean") == 0 )
      || ( mode.compare("k1") == 0 ) || ( mode.compare("k2") == 0 ))
    {
      typedef double Quantity;
      std::vector< Quantity > results;
      std::back_insert_iterator< std::vector< Quantity > > resultsIterator( results );
      if ( mode.compare("mean") == 0 )
        {
          typedef functors::IIMeanCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
          typedef IntegralInvariantVolumeEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;

          MyIICurvatureFunctor functor;
          functor.init( h, re_convolution_kernel );

          MyIIEstimator estimator( functor );
          estimator.attach( K, predicate );
          estimator.setParams( re_convolution_kernel/h );
          estimator.init( h, abegin, aend );

          estimator.eval( abegin, aend, resultsIterator );
        }
      else if ( mode.compare("gaussian") == 0 )
        {
          typedef functors::IIGaussianCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
          typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;

          MyIICurvatureFunctor functor;
          functor.init( h, re_convolution_kernel );

          MyIIEstimator estimator( functor ); estimator.attach( K,
                                                                predicate ); estimator.setParams( re_convolution_kernel/h );
          estimator.init( h, abegin, aend );

          estimator.eval( abegin, aend, resultsIterator );
        }
      else if ( mode.compare("k1") == 0 )
        {
          typedef functors::IIFirstPrincipalCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
          typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;

          MyIICurvatureFunctor functor;
          functor.init( h, re_convolution_kernel );

          MyIIEstimator estimator( functor );
          estimator.attach( K, predicate );
          estimator.setParams( re_convolution_kernel/h );
          estimator.init( h, abegin, aend );

          estimator.eval( abegin, aend, resultsIterator );
        }
      else if ( mode.compare("k2") == 0 )
        {
          typedef functors::IISecondPrincipalCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
          typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;

          MyIICurvatureFunctor functor;
          functor.init( h, re_convolution_kernel );

          MyIIEstimator estimator( functor );
          estimator.attach( K, predicate );
          estimator.setParams( re_convolution_kernel/h );
          estimator.init( h, abegin, aend );

          estimator.eval( abegin, aend, resultsIterator );
        }
      trace.endBlock();


      // Drawing results
      trace.beginBlock("Visualisation");
      Quantity min = results[ 0 ];
      Quantity max = results[ 0 ];
      for ( unsigned int i = 1; i < results.size(); ++i )
        {
          if ( results[ i ] < min )
            {
              min = results[ i ];
            }
          else if ( results[ i ] > max )
            {
              max = results[ i ];
            }
        }
      trace.info() << "Max value= "<<max<<"  min value= "<<min<<std::endl;
      ASSERT( min <= max );
      typedef GradientColorMap< Quantity > Gradient;
      Gradient cmap_grad( min, (max==min)? max+1: max );
      cmap_grad.addColor( Color( 50, 50, 255 ) );
      cmap_grad.addColor( Color( 255, 0, 0 ) );
      cmap_grad.addColor( Color( 255, 255, 10 ) );

#ifdef WITH_VISU3D_QGLVIEWER
      if( enable_visu )
        {
          viewer << SetMode3D((*abegin2).className(), "Basic" );
        }
#endif
      if( enable_obj )
        {
          board << SetMode3D((K.unsigns(*abegin2)).className(), "Basic" );
        }


      for ( unsigned int i = 0; i < results.size(); ++i )
        {
#ifdef WITH_VISU3D_QGLVIEWER
          if( enable_visu )
            {
              viewer << CustomColors3D( Color::Black, cmap_grad( results[ i ] ));
              viewer << *abegin2;
            }
#endif

          if( enable_obj )
            {
              board << CustomColors3D( Color::Black, cmap_grad( results[ i ] ));
              board      << K.unsigns(*abegin2);
            }

          if( enable_dat )
            {
              Point kCoords = K.uKCoords(K.unsigns(*abegin2));
              outDat << kCoords[0] << " " << kCoords[1] << " " << kCoords[2] <<  " " <<  results[i] << std::endl;
            }

          ++abegin2;
        }
    }
  else
    {
      typedef Z3i::Space::RealVector Quantity;
      std::vector< Quantity > results;
      std::back_insert_iterator< std::vector< Quantity > > resultsIterator( results );

      if( mode.compare("prindir1") == 0 )
        {
          typedef functors::IIFirstPrincipalDirectionFunctor<Z3i::Space> MyIICurvatureFunctor;
          typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;

          MyIICurvatureFunctor functor;
          functor.init( h, re_convolution_kernel );

          MyIIEstimator estimator( functor );
          estimator.attach( K, predicate );
          estimator.setParams( re_convolution_kernel/h );
          estimator.init( h, abegin, aend );

          estimator.eval( abegin, aend, resultsIterator );
        }
      else if( mode.compare("prindir2") == 0 )
        {
          typedef functors::IISecondPrincipalDirectionFunctor<Z3i::Space> MyIICurvatureFunctor;
          typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;

          MyIICurvatureFunctor functor;
          functor.init( h, re_convolution_kernel );

          MyIIEstimator estimator( functor );
          estimator.attach( K, predicate );
          estimator.setParams( re_convolution_kernel/h );
          estimator.init( h, abegin, aend );

          estimator.eval( abegin, aend, resultsIterator );
        }else if( mode.compare("normal") == 0 )
        {
          typedef functors::IINormalDirectionFunctor<Z3i::Space> MyIICurvatureFunctor;
          typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;

          MyIICurvatureFunctor functor;
          functor.init( h, re_convolution_kernel );

          MyIIEstimator estimator( functor );
          estimator.attach( K, predicate );
          estimator.setParams( re_convolution_kernel/h );
          estimator.init( h, abegin, aend );

          estimator.eval( abegin, aend, resultsIterator );
        }

      //Visualization + export

#ifdef WITH_VISU3D_QGLVIEWER
      if( enable_visu )
        {
          viewer << SetMode3D(K.uCell( K.sKCoords(*abegin2) ).className(), "Basic" );
        }
#endif

      if( enable_obj )
        {
          board << SetMode3D(K.uCell( K.sKCoords(*abegin2) ).className(), "Basic" );
        }

      for ( unsigned int i = 0; i < results.size(); ++i )
        {
          DGtal::Dimension kDim = K.sOrthDir( *abegin2 );
          SCell outer = K.sIndirectIncident( *abegin2, kDim);
          if ( predicate(embedder(outer)) )
            {
              outer = K.sDirectIncident( *abegin2, kDim);
            }

          Cell unsignedSurfel = K.uCell( K.sKCoords(*abegin2) );

#ifdef WITH_VISU3D_QGLVIEWER
          if( enable_visu )
            {
              viewer << CustomColors3D( DGtal::Color(255,255,255,255),
                                        DGtal::Color(255,255,255,255))
                     << unsignedSurfel;
            }
#endif

          if( enable_obj )
            {
              board << CustomColors3D( DGtal::Color(255,255,255,255),
                                       DGtal::Color(255,255,255,255))
                    << unsignedSurfel;
            }

          if( enable_dat )
            {
              Point kCoords = K.uKCoords(K.unsigns(*abegin2));
              outDat << kCoords[0] << " " << kCoords[1] << " " << kCoords[2] << " "
                     << results[i][0] << " " << results[i][1] << " " << results[i][2]
                     << std::endl;
            }

          RealPoint center = embedder( outer );

#ifdef WITH_VISU3D_QGLVIEWER
          if( enable_visu )
            {
              if( mode.compare("prindir1") == 0 )
                {
                  viewer.setLineColor( AXIS_COLOR_BLUE );
                }
              else if( mode.compare("prindir2") == 0 )
                {
                  viewer.setLineColor( AXIS_COLOR_RED );
                }
              else if( mode.compare("normal") == 0 )
                {
                  viewer.setLineColor( AXIS_COLOR_GREEN );
                }

              viewer.addLine (
                              RealPoint(
                                        center[0] -  0.5 * results[i][0],
                                        center[1] -  0.5 * results[i][1],
                                        center[2] -  0.5 * results[i][2]
                                        ),
                              RealPoint(
                                        center[0] +  0.5 * results[i][0],
                                        center[1] +  0.5 * results[i][1],
                                        center[2] +  0.5 * results[i][2]
                                        ),
                              AXIS_LINESIZE );
            }
#endif

          if( enable_obj )
            {
              if( mode.compare("prindir1") == 0 )
                {
                  board.setFillColor( AXIS_COLOR_BLUE );
                }
              else if( mode.compare("prindir2") == 0 )
                {
                  board.setFillColor( AXIS_COLOR_RED );
                }
              else if( mode.compare("normal") == 0 )
                {
                  board.setFillColor( AXIS_COLOR_GREEN );
                }

              board.addCylinder (
                                 RealPoint(
                                           center[0] -  0.5 * results[i][0],
                                           center[1] -  0.5 * results[i][1],
                                           center[2] -  0.5 * results[i][2]),
                                 RealPoint(
                                           center[0] +  0.5 * results[i][0],
                                           center[1] +  0.5 * results[i][1],
                                           center[2] +  0.5 * results[i][2]),
                                 0.2 );
            }

          ++abegin2;
        }
    }
  trace.endBlock();

#ifdef WITH_VISU3D_QGLVIEWER
  if( enable_visu )
    {
      viewer << Viewer3D<>::updateDisplay;
    }
#endif
  if( enable_obj )
    {
      trace.info()<< "Exporting object: " << export_obj_filename << " ...";
      board.saveOBJ(export_obj_filename,normalization);
      trace.info() << "[done]" << std::endl;
    }
  if( enable_dat )
    {
      outDat.close();
    }

#ifdef WITH_VISU3D_QGLVIEWER
  if( enable_visu )
    {
      return application.exec();
    }
#endif

  return 0;
}