31 #include "DGtal/base/Common.h" 34 #include <boost/program_options/options_description.hpp> 35 #include <boost/program_options/parsers.hpp> 36 #include <boost/program_options/variables_map.hpp> 39 #include "DGtal/io/readers/GenericReader.h" 40 #include "DGtal/images/ImageSelector.h" 41 #include "DGtal/images/imagesSetsUtils/SetFromImage.h" 42 #include "DGtal/images/IntervalForegroundPredicate.h" 43 #include "DGtal/topology/SurfelAdjacency.h" 44 #include "DGtal/topology/helpers/Surfaces.h" 45 #include "DGtal/topology/LightImplicitDigitalSurface.h" 46 #include <DGtal/topology/SetOfSurfels.h> 48 #include "DGtal/images/ImageHelper.h" 49 #include "DGtal/topology/DigitalSurface.h" 50 #include "DGtal/graph/DepthFirstVisitor.h" 51 #include "DGtal/graph/GraphVisitorRange.h" 54 #include "DGtal/geometry/volumes/KanungoNoise.h" 57 #include "DGtal/geometry/surfaces/estimation/IIGeometricFunctors.h" 58 #include "DGtal/geometry/surfaces/estimation/IntegralInvariantVolumeEstimator.h" 59 #include "DGtal/geometry/surfaces/estimation/IntegralInvariantCovarianceEstimator.h" 62 #include "DGtal/io/boards/Board3D.h" 63 #include "DGtal/io/colormaps/GradientColorMap.h" 65 #ifdef WITH_VISU3D_QGLVIEWER 66 #include "DGtal/io/viewers/Viewer3D.h" 69 using namespace DGtal;
164 const Color AXIS_COLOR_RED( 200, 20, 20, 255 );
165 const Color AXIS_COLOR_GREEN( 20, 200, 20, 255 );
166 const Color AXIS_COLOR_BLUE( 20, 20, 200, 255 );
167 const double AXIS_LINESIZE = 0.05;
177 void missingParam( std::string param )
179 trace.error() <<
" Parameter: " << param <<
" is required.";
180 trace.info() << std::endl;
183 namespace po = boost::program_options;
185 int main(
int argc,
char** argv )
188 po::options_description general_opt(
"Allowed options are");
189 general_opt.add_options()
190 (
"help,h",
"display this message")
191 (
"input,i", po::value< std::string >(),
".vol file")
192 (
"radius,r", po::value< double >(),
"Kernel radius for IntegralInvariant" )
193 (
"noise,k", po::value< double >()->default_value(0.5),
"Level of Kanungo noise ]0;1[" )
194 (
"threshold,t", po::value< unsigned int >()->default_value(8),
"Min size of SCell boundary of an object" )
195 (
"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 ] )." )
196 (
"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] )." )
197 (
"mode,m", po::value< std::string >()->default_value(
"mean"),
"type of output : mean, gaussian, k1, k2, prindir1, prindir2 or normal(default mean)")
198 (
"exportOBJ,o", po::value< std::string >(),
"Export the scene to specified OBJ/MTL filename (extensions added)." )
199 (
"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. ")
200 (
"exportOnly",
"Used to only export the result without the 3d Visualisation (usefull for scripts)." )
201 (
"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. ")
202 (
"normalization,n",
"When exporting to OBJ, performs a normalization so that the geometry fits in [-1/2,1/2]^3") ;
205 po::variables_map vm;
208 po::store( po::parse_command_line( argc, argv, general_opt ), vm );
210 catch(
const std::exception & ex )
213 trace.error() <<
" Error checking program options: " << ex.what() << std::endl;
215 bool neededArgsGiven=
true;
217 if (parseOK && !(vm.count(
"input"))){
218 missingParam(
"--input");
219 neededArgsGiven=
false;
221 if (parseOK && !(vm.count(
"radius"))){
222 missingParam(
"--radius");
223 neededArgsGiven=
false;
226 bool normalization =
false;
227 if (parseOK && vm.count(
"normalization"))
228 normalization =
true;
232 mode = vm[
"mode"].as< std::string >();
233 if ( parseOK && ( mode.compare(
"gaussian") != 0 ) && ( mode.compare(
"mean") != 0 ) &&
234 ( mode.compare(
"k1") != 0 ) && ( mode.compare(
"k2") != 0 ) &&
235 ( mode.compare(
"prindir1") != 0 ) && ( mode.compare(
"prindir2") != 0 )&& ( mode.compare(
"normal") != 0 ))
238 trace.error() <<
" The selected mode ("<<mode <<
") is not defined."<<std::endl;
241 double noiseLevel = vm[
"noise"].as<
double >();
242 if( noiseLevel < 0.0 || noiseLevel > 1.0 )
245 trace.error() <<
"The noise level should be in the interval: ]0, 1["<< std::endl;
248 #ifndef WITH_VISU3D_QGLVIEWER 249 bool enable_visu =
false;
251 bool enable_visu = !vm.count(
"exportOnly");
253 bool enable_obj = vm.count(
"exportOBJ");
254 bool enable_dat = vm.count(
"exportDAT");
256 if( !enable_visu && !enable_obj && !enable_dat )
258 #ifndef WITH_VISU3D_QGLVIEWER 259 trace.error() <<
"You should specify what you want to export with --export and/or --exportDat." << std::endl;
261 trace.error() <<
"You should specify what you want to export with --export and/or --exportDat, or remove --exportOnly." << std::endl;
263 neededArgsGiven =
false;
266 if(!neededArgsGiven || !parseOK || vm.count(
"help") || argc <= 1 )
268 trace.info()<<
"Visualisation of 3d curvature from .vol file using curvature from Integral Invariant" <<std::endl
269 << general_opt <<
"\n" 270 <<
"Basic usage: "<<std::endl
271 <<
"\t3dCurvatureViewerNoise -i file.vol --radius 5 --mode mean --noise 0.5"<<std::endl
273 <<
"Below are the different available modes: " << std::endl
274 <<
"\t - \"mean\" for the mean curvature" << std::endl
275 <<
"\t - \"gaussian\" for the Gaussian curvature" << std::endl
276 <<
"\t - \"k1\" for the first principal curvature" << std::endl
277 <<
"\t - \"k2\" for the second principal curvature" << std::endl
278 <<
"\t - \"prindir1\" for the first principal curvature direction" << std::endl
279 <<
"\t - \"prindir2\" for the second principal curvature direction" << std::endl
280 <<
"\t - \"normal\" for the normal vector" << std::endl
284 unsigned int threshold = vm[
"threshold"].as<
unsigned int >();
285 int minImageThreshold = vm[
"minImageThreshold"].as<
int >();
286 int maxImageThreshold = vm[
"maxImageThreshold"].as<
int >();
290 std::string export_obj_filename;
291 std::string export_dat_filename;
295 export_obj_filename = vm[
"exportOBJ"].as< std::string >();
296 if( export_obj_filename.find(
".obj") == std::string::npos )
298 std::ostringstream oss;
299 oss << export_obj_filename <<
".obj" << std::endl;
300 export_obj_filename = oss.str();
307 export_dat_filename = vm[
"exportDAT"].as<std::string>();
310 double re_convolution_kernel = vm[
"radius"].as<
double >();
313 std::vector< double > aGridSizeReSample;
314 if( vm.count(
"imageScale" ))
316 std::vector< double> vectScale = vm[
"imageScale"].as<std::vector<double > >();
317 if( vectScale.size() != 3 )
319 trace.error() <<
"The grid size should contains 3 elements" << std::endl;
324 aGridSizeReSample.push_back(1.0/vectScale.at(0));
325 aGridSizeReSample.push_back(1.0/vectScale.at(1));
326 aGridSizeReSample.push_back(1.0/vectScale.at(2));
331 aGridSizeReSample.push_back(1.0);
332 aGridSizeReSample.push_back(1.0);
333 aGridSizeReSample.push_back(1.0);
339 typedef Z3i::Space::RealPoint RealPoint;
340 typedef Z3i::Point Point;
341 typedef ImageSelector< Z3i::Domain, int>::Type Image;
342 typedef DGtal::functors::BasicDomainSubSampler< HyperRectDomain<SpaceND<3, int> >,
343 DGtal::int32_t,
double > ReSampler;
344 typedef DGtal::ConstImageAdapter<Image, Image::Domain, ReSampler,
345 Image::Value, DGtal::functors::Identity > SamplerImageAdapter;
346 typedef IntervalForegroundPredicate< SamplerImageAdapter > ImagePredicate;
347 typedef KanungoNoise< ImagePredicate, Z3i::Domain > KanungoPredicate;
348 typedef BinaryPointPredicate<DomainPredicate<Image::Domain>, KanungoPredicate, AndBoolFct2 > Predicate;
349 typedef Z3i::KSpace KSpace;
350 typedef KSpace::SCell SCell;
351 typedef KSpace::Cell Cell;
352 typedef KSpace::Surfel Surfel;
354 trace.beginBlock(
"Loading the file");
355 std::string filename = vm[
"input"].as< std::string >();
356 Image image = GenericReader<Image>::import( filename );
358 PointVector<3,int> shiftVector3D( 0 ,0, 0 );
359 DGtal::functors::BasicDomainSubSampler< HyperRectDomain< SpaceND< 3, int > >,
360 DGtal::int32_t,
double > reSampler(image.domain(),
361 aGridSizeReSample, shiftVector3D);
362 const functors::Identity identityFunctor{};
363 SamplerImageAdapter sampledImage ( image, reSampler.getSubSampledDomain(), reSampler, identityFunctor );
364 ImagePredicate predicateIMG = ImagePredicate( sampledImage, minImageThreshold, maxImageThreshold );
365 KanungoPredicate noisifiedPredicateIMG( predicateIMG, sampledImage.domain(), noiseLevel );
366 DomainPredicate<Z3i::Domain> domainPredicate( sampledImage.domain() );
368 Predicate predicate(domainPredicate, noisifiedPredicateIMG, andF );
371 Z3i::Domain domain = sampledImage.domain();
373 bool space_ok = K.init( domain.lowerBound()-Z3i::Domain::Point::diagonal(),
374 domain.upperBound()+Z3i::Domain::Point::diagonal(), true );
377 trace.error() <<
"Error in the Khalimsky space construction."<<std::endl;
380 CanonicSCellEmbedder< KSpace > embedder( K );
381 SurfelAdjacency< Z3i::KSpace::dimension > Sadj(
true );
387 typedef KSpace::SurfelSet SurfelSet;
388 typedef SetOfSurfels< KSpace, SurfelSet > MySetOfSurfels;
389 typedef DigitalSurface< MySetOfSurfels > MyDigitalSurface;
393 trace.beginBlock(
"Extracting surfaces");
394 std::vector< std::vector<SCell > > vectConnectedSCell;
395 Surfaces<KSpace>::extractAllConnectedSCell(vectConnectedSCell,K, Sadj, predicate,
false);
396 std::ofstream outDat;
399 trace.info() <<
"Exporting curvature as dat file: "<< export_dat_filename <<std::endl;
400 outDat.open( export_dat_filename.c_str() );
401 outDat <<
"# data exported from 3dCurvatureViewer implementing the II curvature estimator (Coeurjolly, D.; Lachaud, J.O; Levallois, J., (2013). Integral based Curvature" 402 <<
" Estimators in Digital Geometry. DGCI 2013.) " << std::endl;
403 outDat <<
"# format: surfel coordinates (in Khalimsky space) curvature: "<< mode << std::endl;
406 trace.info()<<
"Number of components= "<<vectConnectedSCell.size()<<std::endl;
409 if( vectConnectedSCell.size() == 0 )
411 trace.error()<<
"No surface component exists. Please check the vol file threshold parameter.";
412 trace.info()<<std::endl;
416 #ifdef WITH_VISU3D_QGLVIEWER 417 QApplication application( argc, argv );
418 typedef Viewer3D<Z3i::Space, Z3i::KSpace> Viewer;
420 typedef Board3D<Z3i::Space, Z3i::KSpace> Board;
422 #ifdef WITH_VISU3D_QGLVIEWER 427 #ifdef WITH_VISU3D_QGLVIEWER 435 unsigned int max_size = 0;
436 for(
unsigned int ii = 0; ii<vectConnectedSCell.size(); ++ii )
438 if( vectConnectedSCell[ii].size() <= threshold )
442 if( vectConnectedSCell[ii].size() > max_size )
444 max_size = vectConnectedSCell[ii].size();
449 MySetOfSurfels aSet(K, Sadj);
451 for( std::vector<SCell>::const_iterator it = vectConnectedSCell.at(i).begin();
452 it != vectConnectedSCell.at(i).end();
455 aSet.surfelSet().insert( *it);
458 MyDigitalSurface digSurf( aSet );
461 typedef DepthFirstVisitor<MyDigitalSurface> Visitor;
462 typedef GraphVisitorRange< Visitor > VisitorRange;
463 typedef VisitorRange::ConstIterator SurfelConstIterator;
464 VisitorRange range(
new Visitor( digSurf, *digSurf.begin() ) );
465 SurfelConstIterator abegin = range.begin();
466 SurfelConstIterator aend = range.end();
468 VisitorRange range2(
new Visitor( digSurf, *digSurf.begin() ) );
469 SurfelConstIterator abegin2 = range2.begin();
471 trace.beginBlock(
"Curvature computation on a component");
472 if( ( mode.compare(
"gaussian") == 0 ) || ( mode.compare(
"mean") == 0 )
473 || ( mode.compare(
"k1") == 0 ) || ( mode.compare(
"k2") == 0 ))
475 typedef double Quantity;
476 std::vector< Quantity > results;
477 std::back_insert_iterator< std::vector< Quantity > > resultsIterator( results );
478 if ( mode.compare(
"mean") == 0 )
480 typedef functors::IIMeanCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
481 typedef IntegralInvariantVolumeEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;
483 MyIICurvatureFunctor functor;
484 functor.init( h, re_convolution_kernel );
486 MyIIEstimator estimator( functor );
487 estimator.attach( K, predicate );
488 estimator.setParams( re_convolution_kernel/h );
489 estimator.init( h, abegin, aend );
491 estimator.eval( abegin, aend, resultsIterator );
493 else if ( mode.compare(
"gaussian") == 0 )
495 typedef functors::IIGaussianCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
496 typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;
498 MyIICurvatureFunctor functor;
499 functor.init( h, re_convolution_kernel );
501 MyIIEstimator estimator( functor ); estimator.attach( K,
502 predicate ); estimator.setParams( re_convolution_kernel/h );
503 estimator.init( h, abegin, aend );
505 estimator.eval( abegin, aend, resultsIterator );
507 else if ( mode.compare(
"k1") == 0 )
509 typedef functors::IIFirstPrincipalCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
510 typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;
512 MyIICurvatureFunctor functor;
513 functor.init( h, re_convolution_kernel );
515 MyIIEstimator estimator( functor );
516 estimator.attach( K, predicate );
517 estimator.setParams( re_convolution_kernel/h );
518 estimator.init( h, abegin, aend );
520 estimator.eval( abegin, aend, resultsIterator );
522 else if ( mode.compare(
"k2") == 0 )
524 typedef functors::IISecondPrincipalCurvature3DFunctor<Z3i::Space> MyIICurvatureFunctor;
525 typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;
527 MyIICurvatureFunctor functor;
528 functor.init( h, re_convolution_kernel );
530 MyIIEstimator estimator( functor );
531 estimator.attach( K, predicate );
532 estimator.setParams( re_convolution_kernel/h );
533 estimator.init( h, abegin, aend );
535 estimator.eval( abegin, aend, resultsIterator );
541 trace.beginBlock(
"Visualisation");
542 Quantity min = results[ 0 ];
543 Quantity max = results[ 0 ];
544 for (
unsigned int i = 1; i < results.size(); ++i )
546 if ( results[ i ] < min )
550 else if ( results[ i ] > max )
555 trace.info() <<
"Max value= "<<max<<
" min value= "<<min<<std::endl;
556 ASSERT( min <= max );
557 typedef GradientColorMap< Quantity > Gradient;
558 Gradient cmap_grad( min, (max==min)? max+1: max );
559 cmap_grad.addColor( Color( 50, 50, 255 ) );
560 cmap_grad.addColor( Color( 255, 0, 0 ) );
561 cmap_grad.addColor( Color( 255, 255, 10 ) );
563 #ifdef WITH_VISU3D_QGLVIEWER 566 viewer << SetMode3D((*abegin2).className(),
"Basic" );
571 board << SetMode3D((K.unsigns(*abegin2)).className(),
"Basic" );
575 for (
unsigned int i = 0; i < results.size(); ++i )
577 #ifdef WITH_VISU3D_QGLVIEWER 580 viewer << CustomColors3D( Color::Black, cmap_grad( results[ i ] ));
587 board << CustomColors3D( Color::Black, cmap_grad( results[ i ] ));
588 board << K.unsigns(*abegin2);
593 Point kCoords = K.uKCoords(K.unsigns(*abegin2));
594 outDat << kCoords[0] <<
" " << kCoords[1] <<
" " << kCoords[2] <<
" " << results[i] << std::endl;
602 typedef Z3i::Space::RealVector Quantity;
603 std::vector< Quantity > results;
604 std::back_insert_iterator< std::vector< Quantity > > resultsIterator( results );
606 if( mode.compare(
"prindir1") == 0 )
608 typedef functors::IIFirstPrincipalDirectionFunctor<Z3i::Space> MyIICurvatureFunctor;
609 typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;
611 MyIICurvatureFunctor functor;
612 functor.init( h, re_convolution_kernel );
614 MyIIEstimator estimator( functor );
615 estimator.attach( K, predicate );
616 estimator.setParams( re_convolution_kernel/h );
617 estimator.init( h, abegin, aend );
619 estimator.eval( abegin, aend, resultsIterator );
621 else if( mode.compare(
"prindir2") == 0 )
623 typedef functors::IISecondPrincipalDirectionFunctor<Z3i::Space> MyIICurvatureFunctor;
624 typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;
626 MyIICurvatureFunctor functor;
627 functor.init( h, re_convolution_kernel );
629 MyIIEstimator estimator( functor );
630 estimator.attach( K, predicate );
631 estimator.setParams( re_convolution_kernel/h );
632 estimator.init( h, abegin, aend );
634 estimator.eval( abegin, aend, resultsIterator );
635 }
else if( mode.compare(
"normal") == 0 )
637 typedef functors::IINormalDirectionFunctor<Z3i::Space> MyIICurvatureFunctor;
638 typedef IntegralInvariantCovarianceEstimator<Z3i::KSpace, Predicate, MyIICurvatureFunctor> MyIIEstimator;
640 MyIICurvatureFunctor functor;
641 functor.init( h, re_convolution_kernel );
643 MyIIEstimator estimator( functor );
644 estimator.attach( K, predicate );
645 estimator.setParams( re_convolution_kernel/h );
646 estimator.init( h, abegin, aend );
648 estimator.eval( abegin, aend, resultsIterator );
653 #ifdef WITH_VISU3D_QGLVIEWER 656 viewer << SetMode3D(K.uCell( K.sKCoords(*abegin2) ).className(),
"Basic" );
662 board << SetMode3D(K.uCell( K.sKCoords(*abegin2) ).className(),
"Basic" );
665 for (
unsigned int i = 0; i < results.size(); ++i )
667 DGtal::Dimension kDim = K.sOrthDir( *abegin2 );
668 SCell outer = K.sIndirectIncident( *abegin2, kDim);
669 if ( predicate(embedder(outer)) )
671 outer = K.sDirectIncident( *abegin2, kDim);
674 Cell unsignedSurfel = K.uCell( K.sKCoords(*abegin2) );
676 #ifdef WITH_VISU3D_QGLVIEWER 679 viewer << CustomColors3D( DGtal::Color(255,255,255,255),
680 DGtal::Color(255,255,255,255))
687 board << CustomColors3D( DGtal::Color(255,255,255,255),
688 DGtal::Color(255,255,255,255))
694 Point kCoords = K.uKCoords(K.unsigns(*abegin2));
695 outDat << kCoords[0] <<
" " << kCoords[1] <<
" " << kCoords[2] <<
" " 696 << results[i][0] <<
" " << results[i][1] <<
" " << results[i][2]
700 RealPoint center = embedder( outer );
702 #ifdef WITH_VISU3D_QGLVIEWER 705 if( mode.compare(
"prindir1") == 0 )
707 viewer.setLineColor( AXIS_COLOR_BLUE );
709 else if( mode.compare(
"prindir2") == 0 )
711 viewer.setLineColor( AXIS_COLOR_RED );
713 else if( mode.compare(
"normal") == 0 )
715 viewer.setLineColor( AXIS_COLOR_GREEN );
720 center[0] - 0.5 * results[i][0],
721 center[1] - 0.5 * results[i][1],
722 center[2] - 0.5 * results[i][2]
725 center[0] + 0.5 * results[i][0],
726 center[1] + 0.5 * results[i][1],
727 center[2] + 0.5 * results[i][2]
735 if( mode.compare(
"prindir1") == 0 )
737 board.setFillColor( AXIS_COLOR_BLUE );
739 else if( mode.compare(
"prindir2") == 0 )
741 board.setFillColor( AXIS_COLOR_RED );
743 else if( mode.compare(
"normal") == 0 )
745 board.setFillColor( AXIS_COLOR_GREEN );
750 center[0] - 0.5 * results[i][0],
751 center[1] - 0.5 * results[i][1],
752 center[2] - 0.5 * results[i][2]),
754 center[0] + 0.5 * results[i][0],
755 center[1] + 0.5 * results[i][1],
756 center[2] + 0.5 * results[i][2]),
765 #ifdef WITH_VISU3D_QGLVIEWER 768 viewer << Viewer3D<>::updateDisplay;
773 trace.info()<<
"Exporting object: " << export_obj_filename <<
" ...";
774 board.saveOBJ(export_obj_filename,normalization);
775 trace.info() <<
"[done]" << std::endl;
782 #ifdef WITH_VISU3D_QGLVIEWER 785 return application.exec();