ITK  4.9.0
Insight Segmentation and Registration Toolkit
WikiExamples/ImageProcessing/BinaryThresholdImageFilter.cxx
#include "itkImage.h"
#include "QuickView.h"
int main(int argc, char *argv[])
{
if(argc < 2)
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile [lowerThreshold] [upperThreshold]" << std::endl;
return EXIT_FAILURE;
}
int lowerThreshold = 10;
int upperThreshold = 30;
if (argc > 2)
{
lowerThreshold = atoi(argv[2]);
}
if (argc > 3)
{
upperThreshold = atoi(argv[3]);
}
typedef itk::Image<unsigned char, 2> ImageType;
typedef itk::ImageFileReader<ImageType> ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(argv[1]);
BinaryThresholdImageFilterType;
BinaryThresholdImageFilterType::Pointer thresholdFilter
= BinaryThresholdImageFilterType::New();
thresholdFilter->SetInput(reader->GetOutput());
thresholdFilter->SetLowerThreshold(lowerThreshold);
thresholdFilter->SetUpperThreshold(upperThreshold);
thresholdFilter->SetInsideValue(255);
thresholdFilter->SetOutsideValue(0);
QuickView viewer;
viewer.AddImage<ImageType>(
reader->GetOutput(),true,
itksys::SystemTools::GetFilenameName(argv[1]));
std::stringstream desc;
desc << "Threshold\nlower = " << lowerThreshold
<< " upper = " << upperThreshold;
viewer.AddImage<ImageType>(
thresholdFilter->GetOutput(),
true,
desc.str());
viewer.Visualize();
return EXIT_SUCCESS;
}