ITK  5.0.0
Insight Segmentation and Registration Toolkit
WikiExamples/SimpleOperations/WidthHeight.cxx
#include "itkImage.h"
int main(int argc, char *argv[])
{
// Verify command line arguments
if( argc < 2 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile" << std::endl;
return EXIT_FAILURE;
}
using ImageType = itk::Image<float, 2>;
using ReaderType = itk::ImageFileReader<ImageType>;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
reader->Update();
std::cout << reader->GetOutput()->GetLargestPossibleRegion().GetSize()[0] << " "
<< reader->GetOutput()->GetLargestPossibleRegion().GetSize()[1] << std::endl;
// An example image had w = 200 and h = 100 (it is wider than it is tall). The above output
// 200 100
// so w = GetSize()[0]
// and h = GetSize()[1]
// A pixel inside the region
itk::Index<2> indexInside;
indexInside[0] = 150;
indexInside[1] = 50;
std::cout << reader->GetOutput()->GetLargestPossibleRegion().IsInside(indexInside) << std::endl;
// A pixel outside the region
itk::Index<2> indexOutside;
indexOutside[0] = 50;
indexOutside[1] = 150;
std::cout << reader->GetOutput()->GetLargestPossibleRegion().IsInside(indexOutside) << std::endl;
// This means that the [0] component of the index is referencing the left to right (column) index
// and the [1] component of Index is referencing the top to bottom (row) index
return EXIT_SUCCESS;
}