ENH: Adding the new lsms apps (integration in progress)

Applications/Segmentation/CMakeLists.txt

@@ -15,4 +15,14 @@ OTB_CREATE_APPLICATION(NAME           Segmentation
                        SOURCES        otbSegmentation.cxx
                        LINK_LIBRARIES OTBBasicFilters;OTBOBIA;OTBOGRAdapters)
 
+OTB_CREATE_APPLICATION(NAME           LSMSSegmentation
+                       SOURCES        otbLSMSSegmentation.cxx
+                       LINK_LIBRARIES OTBBasicFilters;OTBOBIA;OTBOGRAdapters)
+
+OTB_CREATE_APPLICATION(NAME           LSMSMerging
+                       SOURCES        otbLSMSMerging.cxx
+                       LINK_LIBRARIES OTBBasicFilters;OTBOBIA;OTBOGRAdapters)
 
+OTB_CREATE_APPLICATION(NAME           LSMSVectorization
+                       SOURCES        otbLSMSVectorization.cxx
+                       LINK_LIBRARIES OTBBasicFilters;OTBOBIA;OTBOGRAdapters)

Applications/Segmentation/otbLSMSMerging.cxx

+/*=========================================================================
+
+ Program:   ORFEO Toolbox
+ Language:  C++
+ Date:      $Date$
+ Version:   $Revision$
+
+
+ Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
+ See OTBCopyright.txt for details.
+
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE.  See the above copyright notices for more information.
+
+ =========================================================================*/
+#include "otbImage.h"
+#include "otbVectorImage.h"
+#include "otbImageFileReader.h"
+#include "otbImageFileWriter.h"
+
+#include "otbMultiChannelExtractROI.h"
+#include "otbExtractROI.h"
+
+#include "otbStreamingStatisticsImageFilter.h"
+#include "otbSystem.h"
+#include "itkChangeLabelImageFilter.h"
+
+#include "otbTileImageFilter.h"
+
+#include <time.h>
+#include <vcl_algorithm.h>
+#include <climits>
+
+#include "otbWrapperApplication.h"
+#include "otbWrapperApplicationFactory.h"
+
+#include "otbStandardWriterWatcher.h"
+
+
+namespace otb
+{
+namespace Wrapper
+{
+class LSMSMerging : public Application
+{
+public:
+  typedef LSMSMerging Self;
+  typedef Application Superclass;
+  typedef itk::SmartPointer<Self> Pointer;
+  typedef itk::SmartPointer<const Self> ConstPointer;
+  itkNewMacro(Self)
+;
+
+  itkTypeMacro(Merging, otb::Application)
+;
+
+private:
+  void DoInit()
+  {
+    SetName("LSMSMerging");
+    SetDescription("Performs the small region pruning by merging of a segmentation.");
+
+    SetDocName("Merging");
+    SetDocLongDescription("This application performs the small region pruning by merging of a segmentation. Regions are merged by increasing sizes, starting with regions of size 1, until regions of the minimal acceptable size.");
+    SetDocLimitations("");
+    SetDocAuthors("David Youssefi");
+    SetDocSeeAlso(" ");
+    AddDocTag(Tags::Segmentation);
+
+    AddParameter(ParameterType_InputImage,  "in",    "Input image");
+    SetParameterDescription( "in", "The input image." );
+    AddParameter(ParameterType_InputImage,  "seg",    "Segmented image");
+    SetParameterDescription( "seg", " The segmented image input. Segmented image input is the segmentation of the input image." );
+   
+    AddParameter(ParameterType_OutputImage, "out", "Output Image");
+    SetParameterDescription( "out", "The output image. The output image is the input image where the minimal regions have been merged." );
+
+    AddParameter(ParameterType_Int, "minsize", "Minimum Region Size");
+    SetParameterDescription("minsize", "Minimum Region Size. If, after the segmentation, a region is of size lower than this criterion, the region is merged with the \"nearest\" region (radiometrically).");  
+    SetDefaultParameterInt("minsize", 50);
+    SetMinimumParameterIntValue("minsize", 0);
+    MandatoryOff("minsize");
+    
+    AddParameter(ParameterType_Int, "nbtilesx", "Number of Tiles (X-axis)");
+    SetParameterDescription("nbtilesx", "Number of Tiles along the X-axis.");
+    SetDefaultParameterInt("nbtilesx", 10);
+    SetMinimumParameterIntValue("nbtilesx", 1);
+    MandatoryOff("nbtilesx");
+
+    AddParameter(ParameterType_Int, "nbtilesy", "Number of Tiles (Y-axis)");
+    SetParameterDescription("nbtilesy", "Number of Tiles along the Y-axis.");
+    SetDefaultParameterInt("nbtilesy", 10);
+    SetMinimumParameterIntValue("nbtilesy", 1);
+    MandatoryOff("nbtilesy");
+
+
+    // Doc example parameter settings
+    SetDocExampleParameterValue("in","smooth.tif");
+    SetDocExampleParameterValue("seg","segmentation.tif");
+    SetDocExampleParameterValue("out","merged.tif");
+    SetDocExampleParameterValue("minsize","20");
+    SetDocExampleParameterValue("nbtilesx","4");
+    SetDocExampleParameterValue("nbtilesy","4");
+
+  }
+
+  void DoUpdateParameters()
+  {      
+  }
+
+  void DoExecute()
+  {
+    clock_t tic = clock();
+  
+    unsigned int minSize   = GetParameterInt("minsize");
+    
+    unsigned int nbTilesX       = GetParameterInt("nbtilesx");
+    unsigned int nbTilesY       = GetParameterInt("nbtilesy");
+
+    typedef float ImagePixelType;
+    typedef otb::VectorImage<ImagePixelType, 2> ImageType;
+    typedef otb::ImageFileReader<ImageType> ImageReaderType;
+
+    typedef unsigned int LabelImagePixelType;
+    typedef otb::Image<LabelImagePixelType, 2> LabelImageType;
+    typedef otb::ImageFileReader<LabelImageType> LabelImageReaderType;
+    typedef otb::ImageFileWriter<LabelImageType> LabelImageWriterType;
+
+    typedef otb::MultiChannelExtractROI <ImagePixelType,ImagePixelType > MultiChannelExtractROIFilterType;
+    typedef otb::ExtractROI<LabelImagePixelType,LabelImagePixelType> ExtractROIFilterType;
+
+    typedef otb::StreamingStatisticsImageFilter<LabelImageType> StatisticsImageFilterType;
+
+    typedef itk::ImageRegionConstIterator<LabelImageType> LabelImageIterator;
+    typedef itk::ImageRegionConstIterator<ImageType> ImageIterator;
+
+    typedef itk::ChangeLabelImageFilter<LabelImageType,LabelImageType> ChangeLabelImageFilterType;
+    typedef otb::TileImageFilter<LabelImageType> TileImageFilterType;
+
+    //Acquisition of the input image dimensions
+    ImageType::Pointer imageIn = GetParameterImage("in");
+    imageIn->UpdateOutputInformation();
+    unsigned long sizeImageX = imageIn->GetLargestPossibleRegion().GetSize()[0],
+      sizeImageY = imageIn->GetLargestPossibleRegion().GetSize()[1];
+    unsigned int numberOfComponentsPerPixel = imageIn->GetNumberOfComponentsPerPixel();
+
+    LabelImageType::Pointer labelIn = GetParameterUInt32Image("seg");
+
+    StatisticsImageFilterType::Pointer stats = StatisticsImageFilterType::New();
+    stats->SetInput(labelIn);	
+    stats->Update();
+    unsigned int regionCount=stats->GetMaximum();
+
+    std::vector<int>nbPixels; 
+    nbPixels.clear();                
+    nbPixels.resize(regionCount+1);
+    for(LabelImagePixelType curLabel = 1; curLabel <= regionCount; ++curLabel)
+      nbPixels[curLabel] = 0;
+
+    ImageType::PixelType defaultValue(numberOfComponentsPerPixel);
+    defaultValue.Fill(0);
+
+    std::vector<ImageType::PixelType>sum(regionCount+1,defaultValue);
+   
+    long nbStars = 50;
+
+    //Sums calculation per label
+    std::cout<<"Sums calculation (0%) [";
+    for(unsigned int add=0;add<nbStars;add++)
+      std::cout<<" ";
+    std::cout<<"]"<<std::flush;
+    unsigned int count=0;
+
+    unsigned long sizeTilesX = (sizeImageX+nbTilesX-1)/nbTilesX, sizeTilesY = (sizeImageY+nbTilesY-1)/nbTilesY;  
+
+    for(unsigned int row = 0; row < nbTilesY ; row++)
+      for(unsigned int column = 0; column < nbTilesX ; column++)
+	{	
+	  unsigned long startX = column*sizeTilesX, startY = row*sizeTilesY;
+	  unsigned long sizeX = vcl_min(sizeTilesX,sizeImageX-startX),sizeY = vcl_min(sizeTilesY,sizeImageY-startY);
+
+	  //Tiles extraction of the input image
+	  MultiChannelExtractROIFilterType::Pointer imageROI = MultiChannelExtractROIFilterType::New();
+	  imageROI->SetInput(imageIn);
+	  imageROI->SetStartX(startX);
+	  imageROI->SetStartY(startY);
+	  imageROI->SetSizeX(sizeX);
+	  imageROI->SetSizeY(sizeY);
+	  imageROI->Update();
+
+	  //Tiles extraction of the segmented image
+	  ExtractROIFilterType::Pointer labelImageROI = ExtractROIFilterType::New();
+	  labelImageROI->SetInput(labelIn);
+	  labelImageROI->SetStartX(startX);
+	  labelImageROI->SetStartY(startY);
+	  labelImageROI->SetSizeX(sizeX);
+	  labelImageROI->SetSizeY(sizeY);
+	  labelImageROI->Update();
+
+	  //Sums calculation for the mean calculation per label
+	  LabelImageIterator itLabel( labelImageROI->GetOutput(), labelImageROI->GetOutput()->GetLargestPossibleRegion());
+	  ImageIterator itImage( imageROI->GetOutput(), imageROI->GetOutput()->GetLargestPossibleRegion());
+	  for (itLabel.GoToBegin(), itImage.GoToBegin(); !itLabel.IsAtEnd(); ++itLabel, ++itImage){	
+	    nbPixels[itLabel.Value()]++;
+	    for(unsigned int comp = 0; comp<numberOfComponentsPerPixel; ++comp)
+	      sum[itLabel.Value()][comp]+=itImage.Get()[comp];
+	  }
+	
+	  count++;
+	  unsigned int progress = (count*100)/(nbTilesX*nbTilesY);
+	  std::cout<<"\rSums calculation ("<<progress<<"%) [";
+	  for(unsigned int add=0;add<(progress*nbStars)/100;add++)
+	    std::cout<<"*";
+	  for(unsigned int add=(progress*nbStars)/100;add<nbStars;add++)
+	    std::cout<<" ";
+	  std::cout<<"]"<<std::flush;
+	}
+    std::cout<<std::endl;
+
+    //LUT creation for the final relabelling
+    std::vector<LabelImagePixelType> LUT;
+    LUT.clear();
+    LUT.resize(regionCount+1);
+    for(LabelImagePixelType curLabel = 1; curLabel <= regionCount; ++curLabel)
+      LUT[curLabel] = curLabel;
+
+    std::cout<<"Region suppression (0%) [";
+    for(unsigned int add=0;add<nbStars;add++)
+      std::cout<<" ";
+    std::cout<<"]"<<std::flush;
+    count=0;
+
+    //Minimal size region suppression
+    for (int size=1;size<minSize;size++)
+      {      
+	//LUTtmp creation in order to modify the LUT only at the end of the pass
+	std::vector<LabelImagePixelType> LUTtmp;
+	LUTtmp.clear();
+	LUTtmp.resize(regionCount+1);
+	for(LabelImagePixelType curLabel = 1; curLabel <= regionCount; ++curLabel)
+	  LUTtmp[curLabel] = LUT[curLabel];
+
+	for(unsigned int row = 0; row < nbTilesY ; row++)
+	  for(unsigned int column = 0; column < nbTilesX ; column++)
+	    {		
+	      std::set<int> minLabel, edgeLabel, labelMerged;
+	      std::map<int,std::set<int> > adjMap;
+
+	      unsigned long startX = column*sizeTilesX, startY = row*sizeTilesY;
+	      unsigned long sizeX = vcl_min(sizeTilesX+size+1,sizeImageX-startX),
+		sizeY = vcl_min(sizeTilesY+size+1,sizeImageY-startY);
+
+	      ExtractROIFilterType::Pointer labelImageROI = ExtractROIFilterType::New();
+	      labelImageROI->SetInput(labelIn);
+	      labelImageROI->SetStartX(startX);
+	      labelImageROI->SetStartY(startY);
+	      labelImageROI->SetSizeX(sizeX);
+	      labelImageROI->SetSizeY(sizeY);
+	      labelImageROI->Update();
+	   
+	      LabelImageType::IndexType pixelIndex; pixelIndex[0]=0;pixelIndex[1]=0;
+	      long &i = pixelIndex[0], &j = pixelIndex[1];
+	   
+	      //"Adjacency map" creation for the region with nbPixels=="size"
+	      for(i=0;i<sizeX;i++)
+		for(j=0;j<sizeY;j++)
+		  {
+		    LabelImagePixelType curLabel = labelImageROI->GetOutput()->GetPixel(pixelIndex);
+		 
+		    if(labelMerged.count(LUT[curLabel])) edgeLabel.insert(LUT[curLabel]);
+		    if((i==0)&&(startX!=0)) edgeLabel.insert(LUT[curLabel]);
+		    if((j==0)&&(startY!=0)) edgeLabel.insert(LUT[curLabel]);
+
+		    if(i==sizeX-1){if(startX!=(nbTilesX-1)*sizeTilesX) edgeLabel.insert(LUT[curLabel]);}
+		    else{
+		      i++;LabelImagePixelType adjLabelX = labelImageROI->GetOutput()->GetPixel(pixelIndex);i--;
+		      if(LUT[adjLabelX]!=LUT[curLabel])
+			{
+			  if((nbPixels[LUT[curLabel]]>0)&&(nbPixels[LUT[curLabel]]==size))
+			    {adjMap[LUT[curLabel]].insert(LUT[adjLabelX]);minLabel.insert(LUT[curLabel]);}
+			  if((nbPixels[LUT[adjLabelX]]>0)&&(nbPixels[LUT[adjLabelX]]==size))
+			    {adjMap[LUT[adjLabelX]].insert(LUT[curLabel]);minLabel.insert(LUT[adjLabelX]);}
+			}}
+		    if(j==sizeY-1){if(startY!=(nbTilesY-1)*sizeTilesY) edgeLabel.insert(LUT[curLabel]);}
+		    else{
+		      j++;LabelImagePixelType adjLabelY = labelImageROI->GetOutput()->GetPixel(pixelIndex);j--;
+		      if(LUT[adjLabelY]!=LUT[curLabel])
+			{
+			  if((nbPixels[LUT[curLabel]]>0)&&(nbPixels[LUT[curLabel]]==size))
+			    {adjMap[LUT[curLabel]].insert(LUT[adjLabelY]);minLabel.insert(LUT[curLabel]);}
+			  if((nbPixels[LUT[adjLabelY]]>0)&&(nbPixels[LUT[adjLabelY]]==size))
+			    {adjMap[LUT[adjLabelY]].insert(LUT[curLabel]);minLabel.insert(LUT[adjLabelY]);}
+			}}
+		  }
+
+	      //Searching the "nearest" region
+	      for (std::set<int>::iterator itMinLabel=minLabel.begin(); itMinLabel!=minLabel.end(); ++itMinLabel)
+		{   
+		  LabelImagePixelType curLabel = *itMinLabel, adjLabel, err = INT_MAX;
+		  if(edgeLabel.count(curLabel)==0){
+		    if(nbPixels[curLabel]==size){
+		      edgeLabel.insert(curLabel);
+		      for (std::set<int>::iterator itAdjLabel=adjMap[curLabel].begin(); itAdjLabel!=adjMap[curLabel].end(); ++itAdjLabel)
+			{
+			  int tmpError = 0; LabelImagePixelType tmpLabel = *itAdjLabel;
+			  if(tmpLabel!=curLabel){
+			    for(unsigned int comp = 0; comp<numberOfComponentsPerPixel; ++comp)
+			      {
+				int curComp = sum[curLabel][comp]/nbPixels[curLabel];
+				int tmpComp = sum[tmpLabel][comp]/nbPixels[tmpLabel];
+				tmpError += (curComp-tmpComp)*(curComp-tmpComp);
+			      }
+			    if(tmpError<err)
+			      {
+				err = tmpError;
+				adjLabel = tmpLabel;
+			      }}
+			}
+		   
+		      //Fusion of the two regions
+		      if(adjLabel!=curLabel){
+			int curLabelLUT = curLabel, adjLabelLUT = adjLabel;
+			while(LUTtmp[curLabelLUT] != curLabelLUT) curLabelLUT = LUTtmp[curLabelLUT];
+			while(LUTtmp[adjLabelLUT] != adjLabelLUT) adjLabelLUT = LUTtmp[adjLabelLUT];
+			if(curLabelLUT < adjLabelLUT) LUTtmp[adjLabelLUT] = curLabelLUT;
+			else{LUTtmp[LUTtmp[curLabelLUT]] = adjLabelLUT; LUTtmp[curLabelLUT] = adjLabelLUT;}}
+		    }}
+		}
+	       
+	      for(LabelImagePixelType label = 1; label < regionCount+1; ++label)
+		{
+		  LabelImagePixelType can = label;
+		  while(LUTtmp[can] != can) can = LUTtmp[can];
+		  LUTtmp[label] = can;
+		}
+
+	    }    
+	 
+	for(LabelImagePixelType label = 1; label < regionCount+1; ++label)
+	  {
+	    LUT[label]=LUTtmp[label];
+	    if((nbPixels[label]!=0)&&(LUT[label]!=label))
+	      {
+		nbPixels[LUT[label]]+=nbPixels[label];
+		nbPixels[label]=0;
+		for(unsigned int comp = 0; comp<numberOfComponentsPerPixel; ++comp)
+		  sum[LUT[label]][comp]+=sum[label][comp];
+	      }
+	  } 
+        
+	unsigned int progress = (size*100)/(minSize-1);
+	std::cout<<"\rRegion suppression ("<<progress<<"%) [";
+	for(unsigned int add=0;add<(progress*nbStars)/100;add++)
+	  std::cout<<"*";
+	for(unsigned int add=(progress*nbStars)/100;add<nbStars;add++)
+	  std::cout<<" ";
+	std::cout<<"]"<<std::flush;
+      }
+    std::cout<<std::endl;
+
+    //Relabelling
+    ChangeLabelImageFilterType::Pointer changeLabel = ChangeLabelImageFilterType::New();
+    changeLabel->SetInput(labelIn);
+    for(LabelImagePixelType label = 1;label<regionCount+1; ++label)
+      if(label!=LUT[label]) changeLabel->SetChange(label,LUT[label]);
+    changeLabel->Update();
+    
+    SetParameterOutputImage("out", changeLabel->GetOutput());
+
+    clock_t toc = clock();
+
+    printf("Elapsed: %f seconds\n", (double)(toc - tic) / CLOCKS_PER_SEC);
+
+  }
+
+};
+}
+}
+
+OTB_APPLICATION_EXPORT(otb::Wrapper::LSMSMerging)
+
+

Applications/Segmentation/otbLSMSVectorization.cxx

+/*=========================================================================
+
+ Program:   ORFEO Toolbox
+ Language:  C++
+ Date:      $Date$
+ Version:   $Revision$
+
+
+ Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
+ See OTBCopyright.txt for details.
+
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE.  See the above copyright notices for more information.
+
+ =========================================================================*/
+#include "otbWrapperApplication.h"
+#include "otbWrapperApplicationFactory.h"
+
+#include "otbImage.h"
+#include "otbVectorImage.h"
+
+#include "otbMultiChannelExtractROI.h"
+#include "otbExtractROI.h"
+
+#include "otbStreamingStatisticsImageFilter.h"
+#include "otbLabelImageToOGRDataSourceFilter.h"
+#include "otbOGRDataSourceWrapper.h"
+#include "otbOGRFeatureWrapper.h"
+#include "otbSystem.h"
+
+#include <time.h>
+#include <vcl_algorithm.h>
+
+#define PI 3.14159265359
+
+namespace otb
+{
+namespace Wrapper
+{
+class LSMSVectorization : public Application
+{
+public:
+  typedef LSMSVectorization Self;
+  typedef Application Superclass;
+  typedef itk::SmartPointer<Self> Pointer;
+  typedef itk::SmartPointer<const Self> ConstPointer;
+  itkNewMacro(Self)
+;
+
+  itkTypeMacro(Vectorization, otb::Application)
+;
+
+private:
+  void DoInit()
+  {
+    SetName("LSMSVectorization");
+    SetDescription("Performs the vectorization of a segmentation.");
+
+    SetDocName("Vectorization");
+    SetDocLongDescription("This application performs the vectorization of a segmentation. It converts the labelled regions to polygons where the features are the radiometric means and variances.");
+    SetDocLimitations("");
+    SetDocAuthors("David Youssefi");
+    SetDocSeeAlso(" ");
+    AddDocTag(Tags::Segmentation);
+
+    AddParameter(ParameterType_InputImage, "in", "Input Image");
+    SetParameterDescription( "in", "The input image." );
+    AddParameter(ParameterType_InputImage,  "seg",    "Segmented image");
+    SetParameterDescription( "seg", " The segmented image input. Segmented image input is the segmentation of the input image." );
+
+    AddParameter(ParameterType_OutputFilename, "out", "Shapefile Name");
+    SetParameterDescription( "out", "The shapefile name. The shapefile is the vectorized version of the segmented image where the features of the polygones are the radiometric means and variances." );
+
+    AddParameter(ParameterType_Int, "nbtilesx", "Number of Tiles (X-axis)");
+    SetParameterDescription("nbtilesx", "Number of Tiles along the X-axis.");
+    SetDefaultParameterInt("nbtilesx", 10);
+    SetMinimumParameterIntValue("nbtilesx", 1);
+    MandatoryOff("nbtilesx");
+
+    AddParameter(ParameterType_Int, "nbtilesy", "Number of Tiles (Y-axis)");
+    SetParameterDescription("nbtilesy", "Number of Tiles along the Y-axis.");
+    SetDefaultParameterInt("nbtilesy", 10);
+    SetMinimumParameterIntValue("nbtilesy", 1);
+    MandatoryOff("nbtilesy");
+
+    // Doc example parameter settings
+    SetDocExampleParameterValue("in","avions.tif");
+    SetDocExampleParameterValue("seg","merged.tif");
+    SetDocExampleParameterValue("out","vecto.shp");
+    SetDocExampleParameterValue("nbtilesx","4");
+    SetDocExampleParameterValue("nbtilesy","4");
+  }
+
+  void DoUpdateParameters()
+  {
+  }
+
+  void DoExecute()
+  {
+    clock_t tic = clock();
+
+    const char * shapefile = GetParameterString("out").c_str();
+    
+    unsigned int nbTilesX       = GetParameterInt("nbtilesx");
+    unsigned int nbTilesY       = GetParameterInt("nbtilesy");
+   
+    typedef float ImagePixelType;
+    typedef otb::VectorImage<ImagePixelType, 2> ImageType;
+    typedef otb::ImageFileReader<ImageType> ImageReaderType;
+
+    typedef unsigned int LabelImagePixelType;
+    typedef otb::Image<LabelImagePixelType, 2> LabelImageType;
+    typedef otb::ImageFileReader<LabelImageType> LabelImageReaderType;
+
+    typedef otb::MultiChannelExtractROI <ImagePixelType,ImagePixelType > MultiChannelExtractROIFilterType;
+    typedef otb::ExtractROI<LabelImagePixelType,LabelImagePixelType> ExtractROIFilterType;
+
+    typedef otb::StreamingStatisticsImageFilter<LabelImageType> StatisticsImageFilterType;
+
+    typedef itk::ImageRegionConstIterator<LabelImageType> LabelImageIterator;
+    typedef itk::ImageRegionConstIterator<ImageType> ImageIterator;
+
+    typedef otb::LabelImageToOGRDataSourceFilter<LabelImageType> LabelImageToOGRDataSourceFilterType;
+
+    LabelImageType::Pointer labelIn = GetParameterUInt32Image("seg");
+    labelIn->UpdateOutputInformation();
+    unsigned long sizeImageX = labelIn->GetLargestPossibleRegion().GetSize()[0],
+      sizeImageY = labelIn->GetLargestPossibleRegion().GetSize()[1];
+    StatisticsImageFilterType::Pointer stats = StatisticsImageFilterType::New();
+    stats->SetInput(labelIn);	
+    stats->Update();
+    unsigned int regionCount=stats->GetMaximum();
+
+    ImageType::Pointer imageIn = GetParameterImage("in");
+    imageIn->UpdateOutputInformation();
+
+    unsigned long numberOfComponentsPerPixel = imageIn->GetNumberOfComponentsPerPixel();
+    std::string projRef = imageIn->GetProjectionRef();
+
+    std::vector<int>nbPixels; 
+    nbPixels.clear();                
+    nbPixels.resize(regionCount+1);
+    for(LabelImagePixelType curLabel = 1; curLabel <= regionCount; ++curLabel)
+      nbPixels[curLabel] = 0;
+
+    ImageType::PixelType defaultValue(numberOfComponentsPerPixel);
+    defaultValue.Fill(0);
+
+    std::vector<ImageType::PixelType>sum(regionCount+1,defaultValue);
+    std::vector<ImageType::PixelType>sum2(regionCount+1,defaultValue);
+ 
+    otb::ogr::DataSource::Pointer ogrDS;
+    otb::ogr::Layer layer(NULL, false);
+
+    OGRSpatialReference oSRS(projRef.c_str());
+    std::vector<std::string> options;
+
+    ogrDS = otb::ogr::DataSource::New(shapefile, otb::ogr::DataSource::Modes::Overwrite);
+    std::string layername = otb::System::GetShortFileName(shapefile);
+    std::string extension = otb::System::GetExtension(shapefile);
+    layername = layername.substr(0,layername.size()-(extension.size()+1));
+    layer = ogrDS->CreateLayer(layername, &oSRS, wkbMultiPolygon, options);
+
+    OGRFieldDefn classField("class", OFTInteger);
+    layer.CreateField(classField, true);
+    OGRFieldDefn labelField("label", OFTInteger);
+    layer.CreateField(labelField, true);
+    OGRFieldDefn nbPixelsField("nbPixels", OFTInteger);
+    layer.CreateField(nbPixelsField, true);
+  
+    for(unsigned int comp = 0; comp<numberOfComponentsPerPixel; ++comp){
+      std::ostringstream fieldoss;
+      fieldoss<<"meanB"<<comp;
+      OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
+      layer.CreateField(field, true);
+    }
+
+    for(unsigned int comp = 0; comp<numberOfComponentsPerPixel; ++comp){
+      std::ostringstream fieldoss;
+      fieldoss<<"varB"<<comp;
+      OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
+      layer.CreateField(field, true);
+    }
+
+    long nbStars = 50;
+