ITK  4.8.0
Insight Segmentation and Registration Toolkit
SphinxExamples/src/Filtering/Thresholding/ThresholdAnImageUsingOtsu/Code.cxx
int main( int argc, char* argv[] )
{
if( argc < 6 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << std::endl;
std::cerr << " <InputImage> <OutputImage> <NumberOfBins>";
std::cerr << " <NumberOfThresholds> <LabelOffset>"
<< std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 2;
typedef unsigned char PixelType;
typedef itk::SizeValueType SizeType;
const char * InputImage = argv[1];
const char * OutputImage = argv[2];
const SizeType NumberOfHistogramBins = static_cast<SizeType>(atoi( argv[3] ) );
const SizeType NumberOfThresholds = static_cast<SizeType>(atoi( argv[4] ) );
const PixelType LabelOffset = static_cast<PixelType>(atoi( argv[5] ) );
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( InputImage );
FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetInput( reader->GetOutput() );
filter->SetNumberOfHistogramBins( NumberOfHistogramBins );
filter->SetNumberOfThresholds( NumberOfThresholds );
filter->SetLabelOffset( LabelOffset );
FilterType::ThresholdVectorType thresholds = filter->GetThresholds();
std::cout << "Thresholds:" << std::endl;
for( size_t i = 0; i < thresholds.size(); i++ )
{
std:: cout << thresholds[i] << std::endl;
}
std::cout << std::endl;
RescaleType::Pointer rescaler = RescaleType::New();
rescaler->SetInput( filter->GetOutput() );
rescaler->SetOutputMinimum( 0 );
rescaler->SetOutputMaximum( 255 );
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( OutputImage );
writer->SetInput( rescaler->GetOutput() );
try
{
writer->Update();
}
{
std::cerr << "Error: " << e << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}