LabelImageType::Pointer getYousefSegmented(InputImageType::Pointer im_input,std::list<Seed> &seed_list,char *filename)
{
// copy the image into a unsigned char *
char configfile[1024];
strcpy(configfile,filename);
printf("Entering YousefSeg\n");
InputImageType::SizeType size = im_input->GetLargestPossibleRegion().GetSize();
unsigned char * in_Image;
in_Image = (unsigned char*) malloc( size[0]*size[1]*(size[2]+1)*sizeof(unsigned char));
if(in_Image == NULL)
{
printf("Couldn't allocate memory\n");
}
memset(in_Image,0,size[0]*size[1]*(size[2]+1)*sizeof(unsigned char));
ConstIteratorType pix_buf(im_input,im_input->GetLargestPossibleRegion());
int ind = 0;
for ( pix_buf.GoToBegin(); !pix_buf.IsAtEnd(); ++pix_buf, ++ind )
in_Image[ind]=(pix_buf.Get());
printf("Copied input data\n");
yousef_nucleus_seg *NucleusSeg = new yousef_nucleus_seg();
NucleusSeg->readParametersFromFile(configfile);
NucleusSeg->setDataImage(in_Image,size[0],size[1],size[2]+1,"null");
unsigned short * output_img;
// int *bounds_img;
NucleusSeg->runBinarization();
output_img = NucleusSeg->getBinImage();
// getITKImage(output_img);
// getProcessedBinaryImage(
NucleusSeg->runSeedDetection();
std::vector<Seed> seeds = NucleusSeg->getSeeds();
printf("In yousef_seg Seed size = %d\n", (int)seeds.size());
std::vector<Seed>::iterator iter = seeds.begin();
for(;iter!=seeds.end();iter++)
{
seed_list.push_back(*iter);
}
NucleusSeg->runClustering();
printf("Finished Clustering\n");
if(NucleusSeg->isSegmentationFinEnabled())
{
NucleusSeg->runAlphaExpansion3D();
output_img=NucleusSeg->getSegImage();
}
else
{
output_img=NucleusSeg->getClustImage();
}
// bounds_img = NucleusSeg->getBoundsImage();
printf("Finished segmentation\n");
LabelImageType::Pointer label = LabelImageType::New();
label->SetRegions(im_input->GetLargestPossibleRegion());
label->Allocate();
LabelIteratorType liter(label,label->GetLargestPossibleRegion());
ind = 0;
for(liter.GoToBegin();!liter.IsAtEnd();++liter,++ind)
{
liter.Set(output_img[ind]);
}
delete NucleusSeg;
free(in_Image);
return label;
}
vtkSmartPointer<vtkPolyData> getVTKPolyDataPrecise(LabelImageType::Pointer label)
{
LabelIteratorType liter = LabelIteratorType(label,label->GetLargestPossibleRegion());
liter.GoToBegin();
//find the maximum number of cells
unsigned short max1 = 0;
for(liter.GoToBegin();!liter.IsAtEnd();++liter)
max1 = MAX(max1,liter.Get());
//find all the cubes in which cells lie
cubecoord* carray = new cubecoord[max1+1];
for(int counter=0; counter<=max1; counter++)
{
carray[counter].sx=60000; carray[counter].sy=60000;carray[counter].sz=60000;
carray[counter].ex=0;carray[counter].ey=0;carray[counter].ez=0;
}
typedef itk::ImageRegionConstIteratorWithIndex<LabelImageType> ConstLabelIteratorWithIndex;
ConstLabelIteratorWithIndex cliter = ConstLabelIteratorWithIndex(label,label->GetLargestPossibleRegion());
InputImageType::IndexType index;
for(cliter.GoToBegin();!cliter.IsAtEnd();++cliter)
{
int cur = cliter.Get();
if(cur!=0)
{
index = cliter.GetIndex();
carray[cur].sx= MIN(index[0],carray[cur].sx);
carray[cur].sy= MIN(index[1],carray[cur].sy);
carray[cur].sz= MIN(index[2],carray[cur].sz);
carray[cur].ex= MAX(index[0],carray[cur].ex);
carray[cur].ey= MAX(index[1],carray[cur].ey);
carray[cur].ez= MAX(index[2],carray[cur].ez);
}
}
//find the largest image size we need
unsigned short wx=0,wy=0,wz=0;
for(int counter=1; counter<=max1; counter++)
{
wx = MAX(carray[counter].ex-carray[counter].sx+1,wx);
wy = MAX(carray[counter].ey-carray[counter].sy+1,wy);
wz = MAX(carray[counter].ez-carray[counter].sz+1,wz);
}
// accommodate padding
wx = wx+2;wy = wy +2; wz = wz+2;
printf("wx wy wz %u %u %u\n",wx,wy,wz);
// create a tiny image of maximum size
//appendfilter->UserManagedInputsOn();
//appendfilter->SetNumberOfInputs(max1);
vtkSmartPointer<vtkAppendPolyData> appendfilter = vtkSmartPointer<vtkAppendPolyData>::New();
/**************/
ExportFilterType::Pointer itkexporter = ExportFilterType::New();
vtkSmartPointer<vtkImageImport> vtkimporter = vtkSmartPointer<vtkImageImport>::New();
ConnectPipelines(itkexporter,(vtkImageImport *)vtkimporter);
vtkSmartPointer<vtkMarchingCubes> contourf = vtkSmartPointer<vtkMarchingCubes>::New();
contourf->SetInputData(vtkimporter->GetOutput());
contourf->SetValue(0,127);
contourf->ComputeNormalsOff();
contourf->ComputeScalarsOff();
contourf->ComputeGradientsOff();
vtkSmartPointer<vtkSmoothPolyDataFilter> smoothf = vtkSmartPointer<vtkSmoothPolyDataFilter>::New();
smoothf->SetInputData(contourf->GetOutput());
smoothf->SetRelaxationFactor(0.3);
smoothf->SetNumberOfIterations(20);
vtkSmartPointer<vtkTransform> transform = vtkSmartPointer<vtkTransform>::New();
transform->PostMultiply();
transform->Identity();
vtkSmartPointer<vtkTransformPolyDataFilter> tf = vtkSmartPointer<vtkTransformPolyDataFilter>::New();
tf->SetTransform(transform);
tf->SetInputData(smoothf->GetOutput());
/******************/
InputImageType::Pointer t = getEmpty(wx,wy,wz);
for(int counter=1; counter<=max1; counter++)
{
//printf("Maximum tiny image size I need is [%d %d %d]\n",wx,wy,wz);
if(carray[counter].sx > 59999)
continue;
printf("Working..\n");
// scanf("%*d");
InputImageType::SizeType size;
InputImageType::RegionType region;
index.Fill(1);
region.SetIndex(index);
region.SetSize(size);
LabelImageType::SizeType lsize;
LabelImageType::IndexType lindex;
LabelImageType::RegionType lregion;
itkexporter->SetInput(t);
t->FillBuffer(0);
lsize[0] = carray[counter].ex-carray[counter].sx+1;
lsize[1] = carray[counter].ey-carray[counter].sy+1;
lsize[2] = carray[counter].ez-carray[counter].sz+1;
lindex[0] = carray[counter].sx;
lindex[1] = carray[counter].sy;
lindex[2] = carray[counter].sz;
lregion.SetIndex(lindex);
lregion.SetSize(lsize);
LabelIteratorType localiter = LabelIteratorType(label,lregion);
size = lsize;
region.SetSize(size);
IteratorType iter = IteratorType(t,region);
for(localiter.GoToBegin(),iter.GoToBegin();!localiter.IsAtEnd();++localiter,++iter)
{
if(localiter.Get()==counter)
{
iter.Set(255);
}
}
t->Modified();
vtkimporter->Modified();
transform->Identity();
transform->Translate(carray[counter].sx-1,carray[counter].sy-1,carray[counter].sz-1);
tf->SetTransform(transform);
tf->Update();
vtkSmartPointer<vtkPolyData> pol=vtkSmartPointer<vtkPolyData>::New();
pol->DeepCopy(tf->GetOutput());
// tf->GetOutput()->Print(std::cout);
appendfilter->AddInputData(pol);
//appendfilter->Update();
//appendfilter->SetInputByNumber(counter-1,tf->GetOutput());
// appendfilter->Update();
// appendfilter->GetOutput()->Print(std::cout);
//if(counter>500)
// break;
printf("Completed %d/%d\r",counter,max1);
// scanf("%*d");
}
appendfilter->Update();
vtkSmartPointer<vtkDecimatePro> decimate = vtkSmartPointer<vtkDecimatePro>::New();
decimate->SetInputData(appendfilter->GetOutput());
decimate->SetTargetReduction(0.1);
//decimate->SetNumberOfDivisions(32,32,32);
printf("Decimating the contours...");
decimate->Update();
printf("Done\n");
printf("Smoothing the contours after decimation...");
vtkSmartPointer<vtkSmoothPolyDataFilter> smoothfinal = vtkSmartPointer<vtkSmoothPolyDataFilter>::New();
smoothfinal->SetRelaxationFactor(0.2);
smoothfinal->SetInputData(decimate->GetOutput());
smoothfinal->SetNumberOfIterations(0);
smoothfinal->Update();
printf("Done\n");
delete [] carray;
vtkSmartPointer<vtkPolyData> out = smoothfinal->GetOutput();
return out;
}
void otb::Wrapper::Aggregate::DoExecute()
{
// Récupération de la labelmap
LabelImageType::Pointer labelIn = GetParameterUInt32Image("inseg");
labelIn->SetRequestedRegionToLargestPossibleRegion();
labelIn->Update();
// Filtre statistique pour récupérer le nombre de label dans la labelmap
StatisticsImageFilterType::Pointer stats = StatisticsImageFilterType::New();
stats->SetInput(labelIn);
stats->Update();
unsigned int regionCount=stats->GetMaximum();
otbAppLogINFO(<<"Number of objects: "<<regionCount);
//Récupération de la classification et statistique pour connaître le nombre de classes
ImageType::Pointer imageIn = GetParameterUInt32Image("in");
stats->SetInput(imageIn);
stats->Update();
unsigned int nbclass=stats->GetMaximum()-stats->GetMinimum()+1;
otbAppLogINFO(<<"Number of classes: "<<nbclass);
unsigned int minimum =stats->GetMinimum();
otbAppLogINFO(<<"Minimum: "<<minimum);
// Filtre LabelImage vers LabelMap(StatisticsLabelObject)
ConverterStatisticsType::Pointer converterStats = ConverterStatisticsType::New();
converterStats->SetInput(labelIn);
converterStats->SetBackgroundValue(0);
converterStats->Update();
// Calcul des statistiques par objet de la LabelMap
StatisticsFilterType::Pointer statistics = StatisticsFilterType::New();
statistics->SetInput(converterStats->GetOutput());
statistics->SetFeatureImage(imageIn);
statistics->SetNumberOfBins(nbclass);
statistics->Update();
// Définition du filtre ChangeLabel
m_ChangeLabelFilter = ChangeLabelImageFilterType::New();
m_ChangeLabelFilter->SetInput(labelIn);
// Iteration sur les objets, récupération de l'histogramme, extraction de la valeur mojoritaire
// Changement de la valeur du label par la valeur majoritaire dans la label map => obtention d'une classification corrigée
for(unsigned int i=0; i<regionCount+1; i++)
{
if(statistics->GetOutput()->HasLabel(i))
{
const StatisticsLabelObjectType *labelObjectStats = statistics->GetOutput()->GetLabelObject(i);
const HistogramType *histogram = labelObjectStats->GetHistogram();
unsigned int var = 0;
unsigned int classe = minimum;
for(unsigned int j=0; j< nbclass; j++)
{
if(histogram->GetFrequency(j)>var)
{
var = histogram->GetFrequency(j);
classe = j+minimum;
}
}
m_ChangeLabelFilter->SetChange(i,classe);
}
}
SetParameterOutputImage("outim", m_ChangeLabelFilter->GetOutput());
//Vectorisation
otbAppLogINFO(<<"Vectorization...");
//Définition du shapefile
const std::string shapefile = GetParameterString("out");
otb::ogr::DataSource::Pointer ogrDS;
otb::ogr::Layer layer(NULL, false);
std::string projRef = imageIn->GetProjectionRef();
OGRSpatialReference oSRS(projRef.c_str());
otbAppLogINFO(<< projRef);
std::vector<std::string> options;
ogrDS = otb::ogr::DataSource::New(shapefile, otb::ogr::DataSource::Modes::Overwrite);
std::string layername = itksys::SystemTools::GetFilenameName(shapefile.c_str());
std::string const extension = itksys::SystemTools::GetFilenameLastExtension(shapefile.c_str());
layername = layername.substr(0,layername.size()-(extension.size()));
layer = ogrDS->CreateLayer(layername, &oSRS, wkbMultiPolygon, options);
OGRFieldDefn labelField("label", OFTInteger);
layer.CreateField(labelField, true);
OGRFieldDefn MajorityField("Majority", OFTInteger);
layer.CreateField(MajorityField, true);
// Write label image
/*
WriterType::Pointer writer = WriterType::New();
writer->SetInput(m_ChangeLabelFilter->GetOutput());
writer->SetFileName("label_image.tif");
writer->Update();
*/
// Filtre LabelImage vers OGRDataSource
LabelImageToOGRDataSourceFilterType::Pointer labelToOGR = LabelImageToOGRDataSourceFilterType::New();
labelToOGR->SetInput(m_ChangeLabelFilter->GetOutput());
labelToOGR->SetInputMask(m_ChangeLabelFilter->GetOutput()); // La classe 0 est considérée comme du background et n'est pas vectorisée
labelToOGR->SetFieldName("Majority");
labelToOGR->Update();
otb::ogr::DataSource::ConstPointer ogrDSTmp = labelToOGR->GetOutput();
otb::ogr::Layer layerTmp = ogrDSTmp->GetLayerChecked(0);
otb::ogr::Layer::const_iterator featIt = layerTmp.begin();
int nveau_label = 1;
for(; featIt!=layerTmp.end(); ++featIt)
{
otb::ogr::Feature dstFeature(layer.GetLayerDefn());
dstFeature.SetFrom( *featIt, TRUE );
layer.CreateFeature( dstFeature );
dstFeature.ogr().SetField("label",nveau_label);
layer.SetFeature(dstFeature);
nveau_label +=1;
}
otbAppLogINFO(<<"Processing complete.");
}
int main(int argc, char **argv)
{
if(argc <5)
{
std::cout<<"Usage: mixture_segment <MixtureLabelImageFileName> <OutputMixtureLabelImageFileName> <volume1> <volume2>\n";
return 0;
}
// read the parameters //
std::string ifName = argv[1];
std::string ofName = argv[2];
unsigned int volume1 = atoi(argv[3]); // minimum area1 of the large components
unsigned int volume2 = atoi(argv[4]); // minimum area2 of the small components ( heads of the cells )
printf("volume1: %d\t",volume1);
printf("volume2: %d\n",volume2);
// read input image:
LabelImageType::Pointer mixtureLabelImage = readImage<LabelImageType>(ifName.c_str());
LabelPixelType nr = mixtureLabelImage->GetLargestPossibleRegion().GetSize()[0];
LabelPixelType nc = mixtureLabelImage->GetLargestPossibleRegion().GetSize()[1];
LabelPixelType ns = mixtureLabelImage->GetLargestPossibleRegion().GetSize()[2];
LabelPixelType * mixtureLabelImagePtr = mixtureLabelImage->GetBufferPointer();
//generate label image
LabelImageType::SizeType size;
size[0] = nr;
size[1] = nc;
size[2] = ns;
LabelImageType::Pointer outputImage = GetITKImageOfSize<LabelImageType>(size);
LabelPixelType * outputImagePtr = outputImage->GetBufferPointer();
// parameters for 2D image
LabelImageType::SizeType sz2;
sz2[0] = nr;
sz2[1] = nc;
sz2[2] = 1;
unsigned int sz = nr*nc;
//bool FoundLabel = true;
omp_set_num_threads(1);
itk::MultiThreader::SetGlobalDefaultNumberOfThreads(1);
#pragma omp parallel for num_threads(80)
for(size_t t = 0; t<ns; ++t)
{
LabelImageType::Pointer output2DImage = GetITKImageOfSize<LabelImageType>(sz2);
LabelPixelType * output2DImagePtr = output2DImage->GetBufferPointer();
unsigned int i;
LabelImageType::Pointer binaryLabelImage = GetITKImageOfSize<LabelImageType>(sz2);
LabelPixelType * binaryLabelImagePtr = binaryLabelImage->GetBufferPointer();
size_t offset = t*((nr*nc));
// first mixture
for(i = 0; i < sz; ++i)
{
if(mixtureLabelImagePtr[i+offset]>0)
{
binaryLabelImagePtr[i] = 1;
//printf("set pixel to one\n");
}
else
{
binaryLabelImagePtr[i] = 0;
}
}
// well size is 90x90: if any of the connected components is larger than that it meas something went wrong with the segmnetation
// bool isEmpty = CleanImage(binaryLabelImage,6000);
bool isEmpty = false;
if(!isEmpty)
{
RemoveSmallComponents(binaryLabelImage, volume1);
// copy the clean image to the output
for(i = 0; i < sz; ++i)
{
if(binaryLabelImagePtr[i]>0)
{
output2DImagePtr[i] +=1;
//printf("added\n");
}
}
// second mixture
for(i = 0; i < sz; ++i)
{
if(mixtureLabelImagePtr[i+offset]>1)
{
binaryLabelImagePtr[i] = 1;
}
else
{
binaryLabelImagePtr[i] = 0;
}
}
RemoveSmallComponents(binaryLabelImage, volume2);
// copy the clean image to the output
for(i = 0; i < sz; ++i)
{
if(binaryLabelImagePtr[i]>0)
{
output2DImagePtr[i] +=1;
//printf("added2\n");
}
}
}// end of if statement
for(i=0 ; i<sz ; ++i)
outputImagePtr[i+offset] = output2DImagePtr[i];
} // end of time loop
writeImage<LabelImageType>(outputImage, ofName.c_str());
return 0;
}
//Function to process the poly data out of the label image
vtkSmartPointer<vtkPolyData> getVTKPolyDataPrecise(labelImageType::Pointer label)
{
labelIteratorType liter = labelIteratorType(label,label->GetLargestPossibleRegion());
liter.GoToBegin();
//find the maximum number of cells
unsigned short max1 = 0;
for(liter.GoToBegin();!liter.IsAtEnd();++liter)
{
max1 = MAX(max1,liter.Get());
}
//find all the cubes in which cells lie
cubeCoord* carray = new cubeCoord[max1+1];
for(int counter=0; counter<=max1; counter++)
{
carray[counter].sx=6000;carray[counter].sy=6000;carray[counter].sz=6000;
carray[counter].ex=0;carray[counter].ey=0;carray[counter].ez=0;
}
//Declare label image iterators
typedef itk::ImageRegionConstIteratorWithIndex<labelImageType> ConstLabelIteratorWithIndex;
ConstLabelIteratorWithIndex cliter = ConstLabelIteratorWithIndex(label,label->GetLargestPossibleRegion());
inputImageType::IndexType index;
//Iterate through the label image
for(cliter.GoToBegin();!cliter.IsAtEnd();++cliter)
{
int cur = cliter.Get();
if(cur!=0)
{
index = cliter.GetIndex();
carray[cur].sx= MIN(index[0],carray[cur].sx);
carray[cur].sy= MIN(index[1],carray[cur].sy);
carray[cur].sz= MIN(index[2],carray[cur].sz);
carray[cur].ex= MAX(index[0],carray[cur].ex);
carray[cur].ey= MAX(index[1],carray[cur].ey);
carray[cur].ez= MAX(index[2],carray[cur].ez);
}
}
//find the largest image size we need
unsigned short wx=0,wy=0,wz=0;
for(int counter=1; counter<=max1; counter++)
{
wx = MAX(carray[counter].ex-carray[counter].sx+1,wx);
wy = MAX(carray[counter].ey-carray[counter].sy+1,wy);
wz = MAX(carray[counter].ez-carray[counter].sz+1,wz);
}
// accommodate padding
wx = wx+2;wy = wy +2; wz = wz+2;
printf("wx wy wz %u %u %u\n",wx,wy,wz);
//Declare itk image exporter and vtk image importer, then connect their pipelines
vtkSmartPointer<vtkImageImport> vtkimporter = vtkSmartPointer<vtkImageImport>::New();
ExportFilterType::Pointer itkexporter = ExportFilterType::New();
connectPipelines(itkexporter,(vtkImageImport *)vtkimporter);
//Using Marching cubes as a contour filter
vtkSmartPointer<vtkMarchingCubes> contourf = vtkSmartPointer<vtkMarchingCubes>::New();
contourf->SetInput(vtkimporter->GetOutput());
contourf->SetValue(0,127);
contourf->ComputeNormalsOff();
contourf->ComputeScalarsOff();
contourf->ComputeGradientsOff();
//Using vtkSmoothPolyDataFilter as an initial smoothing filter
vtkSmartPointer<vtkSmoothPolyDataFilter> smoothf = vtkSmartPointer<vtkSmoothPolyDataFilter>::New();
smoothf->SetInput(contourf->GetOutput());
smoothf->SetRelaxationFactor(0.3);
smoothf->SetNumberOfIterations(20);
//Set up polydata transform
vtkSmartPointer<vtkTransform> transform = vtkSmartPointer<vtkTransform>::New();
transform->PostMultiply();
transform->Identity();
vtkSmartPointer<vtkTransformPolyDataFilter> tf = vtkSmartPointer<vtkTransformPolyDataFilter>::New();
tf->SetTransform(transform);
tf->SetInput(smoothf->GetOutput());
vtkSmartPointer<vtkAppendPolyData> appendfilter = vtkSmartPointer<vtkAppendPolyData>::New();
//Generate empty image, and iterate through the cells, filling the image
inputImageType::Pointer t = getEmptyImage(wx,wy,wz);
for(int counter=1; counter<=max1; counter++)
{
inputImageType::SizeType size;
inputImageType::RegionType region;
index.Fill(1);
region.SetIndex(index);
region.SetSize(size);
labelImageType::SizeType lsize;
labelImageType::IndexType lindex;
labelImageType::RegionType lregion;
itkexporter->SetInput(t);
t->FillBuffer(0);
lsize[0] = carray[counter].ex-carray[counter].sx+1;
lsize[1] = carray[counter].ey-carray[counter].sy+1;
lsize[2] = carray[counter].ez-carray[counter].sz+1;
lindex[0] = carray[counter].sx;
lindex[1] = carray[counter].sy;
lindex[2] = carray[counter].sz;
lregion.SetIndex(lindex);
lregion.SetSize(lsize);
labelIteratorType localiter = labelIteratorType(label,lregion);
size = lsize;
region.SetSize(size);
iteratorType iter = iteratorType(t,region);
for(localiter.GoToBegin(),iter.GoToBegin();!localiter.IsAtEnd();++localiter,++iter)
{
if(localiter.Get()==counter)
{
iter.Set(255);
}
}
t->Modified();
vtkimporter->Modified();
transform->Identity();
transform->Translate(carray[counter].sx-1,carray[counter].sy-1,carray[counter].sz-1);
tf->SetTransform(transform);
tf->Update();
vtkSmartPointer<vtkPolyData> pol=vtkSmartPointer<vtkPolyData>::New();
pol->DeepCopy(tf->GetOutput());
appendfilter->AddInput(pol);
printf("Completed %d/%d\r",counter,max1);
}
appendfilter->Update();
//Decimate filter (reduces the number of triangles in the mesh) for the poly data
vtkSmartPointer<vtkDecimatePro> decimate = vtkSmartPointer<vtkDecimatePro>::New();
decimate->SetInput(appendfilter->GetOutput());
decimate->SetTargetReduction(0.75);
printf("Decimating the contours...");
decimate->Update();
printf("Done\n");
//Smooth poly data filter for a final smoothing
printf("Smoothing the contours after decimation...");
vtkSmartPointer<vtkSmoothPolyDataFilter> smoothfinal = vtkSmartPointer<vtkSmoothPolyDataFilter>::New();
smoothfinal->SetRelaxationFactor(0.2);
smoothfinal->SetInput(decimate->GetOutput());
smoothfinal->SetNumberOfIterations(0);
smoothfinal->Update();
printf("Done\n");
//Return processed poly data
vtkSmartPointer<vtkPolyData> out = smoothfinal->GetOutput();
return out;
}
