ITK  4.8.0
Insight Segmentation and Registration Toolkit
WikiExamples/ImageProcessing/LabelStatisticsImageFilter.cxx
#include "itkImage.h"
typedef itk::Image<unsigned char, 2> ImageType;
static void CreateImage(ImageType::Pointer image);
int main(int, char *[])
{
ImageType::Pointer image = ImageType::New();
CreateImage(image);
typedef itk::BinaryImageToLabelMapFilter<ImageType> BinaryImageToLabelMapFilterType;
BinaryImageToLabelMapFilterType::Pointer binaryImageToLabelMapFilter = BinaryImageToLabelMapFilterType::New();
binaryImageToLabelMapFilter->SetInput(image);
binaryImageToLabelMapFilter->Update();
LabelMapToLabelImageFilterType::Pointer labelMapToLabelImageFilter = LabelMapToLabelImageFilterType::New();
labelMapToLabelImageFilter->SetInput(binaryImageToLabelMapFilter->GetOutput());
labelMapToLabelImageFilter->Update();
typedef itk::LabelStatisticsImageFilter< ImageType, ImageType > LabelStatisticsImageFilterType;
LabelStatisticsImageFilterType::Pointer labelStatisticsImageFilter = LabelStatisticsImageFilterType::New();
labelStatisticsImageFilter->SetLabelInput( labelMapToLabelImageFilter->GetOutput() );
labelStatisticsImageFilter->SetInput(image);
labelStatisticsImageFilter->Update();
std::cout << "Number of labels: " << labelStatisticsImageFilter->GetNumberOfLabels() << std::endl;
std::cout << std::endl;
typedef LabelStatisticsImageFilterType::ValidLabelValuesContainerType ValidLabelValuesType;
typedef LabelStatisticsImageFilterType::LabelPixelType LabelPixelType;
for(ValidLabelValuesType::const_iterator vIt=labelStatisticsImageFilter->GetValidLabelValues().begin();
vIt != labelStatisticsImageFilter->GetValidLabelValues().end();
++vIt)
{
if ( labelStatisticsImageFilter->HasLabel(*vIt) )
{
LabelPixelType labelValue = *vIt;
std::cout << "min: " << labelStatisticsImageFilter->GetMinimum( labelValue ) << std::endl;
std::cout << "max: " << labelStatisticsImageFilter->GetMaximum( labelValue ) << std::endl;
std::cout << "median: " << labelStatisticsImageFilter->GetMedian( labelValue ) << std::endl;
std::cout << "mean: " << labelStatisticsImageFilter->GetMean( labelValue ) << std::endl;
std::cout << "sigma: " << labelStatisticsImageFilter->GetSigma( labelValue ) << std::endl;
std::cout << "variance: " << labelStatisticsImageFilter->GetVariance( labelValue ) << std::endl;
std::cout << "sum: " << labelStatisticsImageFilter->GetSum( labelValue ) << std::endl;
std::cout << "count: " << labelStatisticsImageFilter->GetCount( labelValue ) << std::endl;
//std::cout << "box: " << labelStatisticsImageFilter->GetBoundingBox( labelValue ) << std::endl; // can't output a box
std::cout << "region: " << labelStatisticsImageFilter->GetRegion( labelValue ) << std::endl;
std::cout << std::endl << std::endl;
}
}
return EXIT_SUCCESS;
}
void CreateImage(ImageType::Pointer image)
{
// Create a black image with a white square
ImageType::IndexType start;
start.Fill(0);
ImageType::SizeType size;
size.Fill(20);
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(start);
image->SetRegions(region);
image->Allocate();
itk::ImageRegionIterator<ImageType> imageIterator(image,image->GetLargestPossibleRegion());
// Make a square
while(!imageIterator.IsAtEnd())
{
if((imageIterator.GetIndex()[0] > 5 && imageIterator.GetIndex()[0] < 10) &&
(imageIterator.GetIndex()[1] > 5 && imageIterator.GetIndex()[1] < 10) )
{
imageIterator.Set(255);
}
else
{
imageIterator.Set(0);
}
++imageIterator;
}
WriterType::Pointer writer = WriterType::New();
writer->SetFileName("image.png");
writer->SetInput(image);
writer->Update();
}