/* # # File : itkSTMS_TemporalSetToImageSequence.txx # ( C++ header file - STMS ) # # Description : STMS lib that implements the STMS filter and clustering. # This file is a part of the STMS Library project. # ( https://www.creatis.insa-lyon.fr/site7/fr/realisations ) # # [1] S. Mure, Grenier, T., Meier, S., Guttmann, R. G., et Benoit-Cattin, H., # « Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification », # Pattern Recognition Letters, vol. 68, Part 1, p. 48 - 55, 2015. # # Copyright : Thomas GRENIER - Simon MURE # ( https://www.creatis.insa-lyon.fr/~grenier/ ) # # License : CeCILL C # ( http://www.cecill.info/licences/Licence_CeCILL-C_V1-en.txt ) # # This software is governed by the CeCILL license under French law and # abiding by the rules of distribution of free software. You can use, # modify and/ or redistribute the software under the terms of the CeCILL # license as circulated by CEA, CNRS and INRIA at the following URL # "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided only # with a limited warranty and the software's author, the holder of the # economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards their # requirements in conditions enabling the security of their systems and/or # data to be ensured and, more generally, to use and operate it in the # same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL license and that you accept its terms. # */ /* Please don't forget to cite our work : @article {MURE-15a, title = {Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification}, journal = {Pattern Recognition Letters}, volume = {68, Part 1}, year = {2015}, pages = {48 - 55}, issn = {0167-8655}, doi = {http://dx.doi.org/10.1016/j.patrec.2015.07.021}, url = {http://www.sciencedirect.com/science/article/pii/S0167865515002305}, author = {S. Mure and T Grenier and Meier, S. and Guttmann, R.G. and H. Benoit-Cattin} } */ #ifndef itkSTMS_TemporalSetToImageSequence_txx #define itkSTMS_TemporalSetToImageSequence_txx #include "itkSTMS_TemporalSetToImageSequence.h" #include "itkSTMS_XMLFileParser.h" #include "itkSTMS_ArgumentsAnalysis.h" namespace itkSTMS { template < class ImageType, class ClassImageType > itkSTMS_TemporalSetToImageSequence < ImageType, ClassImageType > ::itkSTMS_TemporalSetToImageSequence( IndexSampleSetType* cl, SpatialSampleSetType* sp, RangeSampleSetType* ra, itkSTMS::ParamsAnalysisOutputType* params, itkSTMS::ParserOutputType* desc ) { this->stmsParameters = params; this->expDescription = desc; this->classSet = cl; this->spatialSet = sp; this->rangeSet = ra; } template < class ImageType, class ClassImageType > void itkSTMS_TemporalSetToImageSequence< ImageType, ClassImageType > ::GenerateImageSequence() { bool first = true; // Output images allocation ImagePointer image = ImageType::New(); ReaderPointer reader = ReaderType::New(); std::string imagePath = expDescription->experimentPath+expDescription->inputFolder+expDescription->inputCommonRoot+STMS_NUMBERING_FORM_ONE+expDescription->imageExtension; reader->SetFileName( imagePath ); reader->Update(); image = reader->GetOutput(); SpatialIndexType start, outIndex, classIndex; start.Fill(0); RegionType region; region.SetSize( image->GetBufferedRegion().GetSize()); region.SetIndex(start); ClassRegionType classRegion; classRegion.SetSize( image->GetBufferedRegion().GetSize()); classRegion.SetIndex( start ); std::string outputPath, classPath; ClassImagePointer classImage = ClassImageType::New(); classImage->SetRegions( classRegion ); classImage->Allocate(); classImage->FillBuffer( 15.0 ); classPath = expDescription->experimentPath+expDescription->outputFolder+ expDescription->outputCommonRoot+ "_Class_X-"+std::to_string((unsigned int)stmsParameters->spScales[0])+ "_Y-"+std::to_string((unsigned int)stmsParameters->spScales[1])+ "_Z-"+std::to_string((unsigned int)stmsParameters->spScales[2])+ "_R-"+std::to_string(stmsParameters->rScale)+ expDescription->outputImageExtension; ClassWriterPointer classWriter = ClassWriterType::New(); classWriter->SetFileName( classPath ); // Filetered image sequence and class image saving for( unsigned int i=1 ; i<=stmsParameters->numTimePoints - stmsParameters->startTimePoint + 1; ++i ) { char buffer[6]; int n; if( sizeof(STMS_NUMBERING_FORM_ONE) == 6 ) n=sprintf (buffer, "%05d", i + stmsParameters->startTimePoint - 1); if( sizeof(STMS_NUMBERING_FORM_ONE) == 5 ) n=sprintf (buffer, "%04d", i + stmsParameters->startTimePoint - 1); if( sizeof(STMS_NUMBERING_FORM_ONE) == 4 ) n=sprintf (buffer, "%03d", i + stmsParameters->startTimePoint - 1); if( sizeof(STMS_NUMBERING_FORM_ONE) == 3 ) n=sprintf (buffer, "%02d", i + stmsParameters->startTimePoint - 1); if( sizeof(STMS_NUMBERING_FORM_ONE) == 2 ) n=sprintf (buffer, "%01d", i + stmsParameters->startTimePoint - 1); outputPath = expDescription->experimentPath+expDescription->outputFolder+ expDescription->outputCommonRoot+ "_X-"+std::to_string((unsigned int)stmsParameters->spScales[0])+ "_Y-"+std::to_string((unsigned int)stmsParameters->spScales[1])+ "_Z-"+std::to_string((unsigned int)stmsParameters->spScales[2])+ "_R-"+std::to_string(stmsParameters->rScale)+"_"+ buffer+expDescription->outputImageExtension; ImagePointer outImage = ImageType::New(); outImage->SetRegions( region ); outImage->Allocate(); outImage->FillBuffer( 15.0 ); WriterPointer writer = WriterType::New(); writer->SetFileName( outputPath ); //#pragma omp parrallel for ... for(unsigned int j=0 ; jsize() ; ++j) { for( unsigned int k=0 ; kdim ; ++k) { outIndex[k] = (IndexType)( round(spatialSet->at(j)[k]*stmsParameters->spScales[k]) ); if( first ) classIndex[k] = outIndex[k]; } outImage->SetPixel( outIndex, rangeSet->at( classSet->at(j)-1 )[i-1]*stmsParameters->rScale ); if( first ) classImage->SetPixel(classIndex, classSet->at(j)); } writer->SetInput( outImage ); writer->Update(); if( first ) { classWriter->SetInput( classImage ); classWriter->Update(); first = false; } } } template < class ImageType, class ClassImageType> void itkSTMS_TemporalSetToImageSequence< ImageType, ClassImageType > ::GenerateCSVFile() { std::string CSVFilename = expDescription->experimentPath+expDescription->outputFolder+ expDescription->outputCommonRoot+ "_X-"+std::to_string((unsigned int)stmsParameters->spScales[0])+ "_Y-"+std::to_string((unsigned int)stmsParameters->spScales[1])+ "_Z-"+std::to_string((unsigned int)stmsParameters->spScales[2])+ "_R-"+std::to_string(stmsParameters->rScale)+".csv"; std::cout << "Writing CSV File (classID, nb of pixels, values of time serie), : " << CSVFilename << std::endl; std::ofstream ofs; ofs.open (CSVFilename.c_str(), std::ofstream::out | std::ofstream::trunc); for(unsigned int j=0 ; jsize() ; ++j) { ofs << j+1 <<", " << std::count (classSet->begin(), classSet->end(), j+1); for( unsigned int i=1 ; i<=stmsParameters->numTimePoints - stmsParameters->startTimePoint + 1; ++i ) ofs << ", " << rangeSet->at(j)[i-1]*stmsParameters->rScale ; ofs << std::endl; } ofs.close(); } } // end of namespace itkSTMS #endif