ITK  4.13.0
Insight Segmentation and Registration Toolkit
WikiExamples/Segmentation/ThresholdImageFilterDemo.cxx
#include "itksys/SystemTools.hxx"
#include <sstream>
#include <map>
#include "QuickView.h"
int main(int argc, char* argv[] )
{
if( argc < 2 )
{
std::cout << "Usage: " << argv[0];
std::cout << " inputImageFile";
std::cerr << std::endl;
return EXIT_FAILURE;
}
typedef short InputPixelType;
typedef unsigned char OutputPixelType;
typedef itk::Image< InputPixelType, 2 > InputImageType;
typedef itk::Image< OutputPixelType, 2 > OutputImageType;
LiFilterType;
HuangFilterType;
IntermodesFilterType;
IsoDataFilterType;
KittlerIllingworthFilterType;
LiFilterType;
MaximumEntropyFilterType;
MomentsFilterType;
OtsuFilterType;
RenyiEntropyFilterType;
ShanbhagFilterType;
TriangleFilterType;
YenFilterType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
QuickView viewer;
viewer.AddImage(
reader->GetOutput(),true,
itksys::SystemTools::GetFilenameName(argv[1]));
typedef std::map<std::string, itk::HistogramThresholdImageFilter<InputImageType, OutputImageType>::Pointer> FilterContainerType;
FilterContainerType filterContainer;
filterContainer["Huang"] = HuangFilterType::New();
filterContainer["Intermodes"] = IntermodesFilterType::New();
filterContainer["IsoData"] = IsoDataFilterType::New();
filterContainer["KittlerIllingworth"] = KittlerIllingworthFilterType::New();
filterContainer["Li"] = LiFilterType::New();
filterContainer["MaximumEntropy"] = MaximumEntropyFilterType::New();
filterContainer["Moments"] = MomentsFilterType::New();
filterContainer["Otsu"] = OtsuFilterType::New();
filterContainer["RenyiEntropy"] = RenyiEntropyFilterType::New();
filterContainer["Shanbhag"] = ShanbhagFilterType::New();
filterContainer["Triangle"] = TriangleFilterType::New();
filterContainer["Yen"] = YenFilterType::New();
FilterContainerType::iterator it = filterContainer.begin();
for (it = filterContainer.begin(); it != filterContainer.end(); ++it)
{
(*it).second->SetInsideValue( 255 );
(*it).second->SetOutsideValue( 0 );
(*it).second->SetInput( reader->GetOutput() );
(*it).second->SetNumberOfHistogramBins( 100 );
(*it).second->Update();
std::stringstream desc;
desc << (*it).first << " threshold = "
<< (*it).second->GetThreshold();
viewer.AddImage(
(*it).second->GetOutput(),
true,
desc.str());
}
viewer.Visualize();
return EXIT_SUCCESS;
}