ITK  4.13.0
Insight Segmentation and Registration Toolkit
WikiExamples/Smoothing/DiscreteGaussianImageFilter.cxx
#include "itkImage.h"
#include "QuickView.h"
int main(int argc, char * argv[])
{
// Verify command line arguments
if( argc < 2 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile [variance]" << std::endl;
return EXIT_FAILURE;
}
// Parse command line argumentsa
std::string inputFilename = argv[1];
double variance = 4.0;
if (argc > 2)
{
variance = atof(argv[2]);
}
// Setup types
typedef itk::Image< unsigned char, 2 > UnsignedCharImageType;
typedef itk::Image< float, 2 > FloatImageType;
UnsignedCharImageType, FloatImageType > filterType;
// Create and setup a reader
readerType::Pointer reader = readerType::New();
reader->SetFileName( inputFilename.c_str() );
// Create and setup a Gaussian filter
filterType::Pointer gaussianFilter = filterType::New();
gaussianFilter->SetInput( reader->GetOutput() );
gaussianFilter->SetVariance(variance);
QuickView viewer;
viewer.AddImage<UnsignedCharImageType>(reader->GetOutput());
viewer.AddImage<FloatImageType>(gaussianFilter->GetOutput());
viewer.Visualize();
return EXIT_SUCCESS;
}