Translate Image#
Synopsis#
Translate one itk::Image
Results#
Input image#
Output image#
Code#
C++#
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTranslationTransform.h"
#include "itkResampleImageFilter.h"
int
main(int argc, char * argv[])
{
if (argc != 5)
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0];
std::cerr << " <InputFileName> <OutputFileName> <translation X> <translation Y>";
std::cerr << std::endl;
return EXIT_FAILURE;
}
const char * inputFileName = argv[1];
const char * outputFileName = argv[2];
constexpr unsigned int Dimension = 2;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, Dimension>;
const auto input = itk::ReadImage<ImageType>(inputFileName);
using TransformType = itk::TranslationTransform<double, Dimension>;
TransformType::OutputVectorType vector;
vector[0] = std::stod(argv[3]);
vector[1] = std::stod(argv[4]);
auto translation = TransformType::New();
translation->Translate(vector);
using ResampleImageFilterType = itk::ResampleImageFilter<ImageType, ImageType>;
auto resampleFilter = ResampleImageFilterType::New();
resampleFilter->SetTransform(translation.GetPointer());
resampleFilter->SetInput(input);
resampleFilter->SetSize(input->GetLargestPossibleRegion().GetSize());
try
{
itk::WriteImage(resampleFilter->GetOutput(), outputFileName);
}
catch (const itk::ExceptionObject & error)
{
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
Classes demonstrated#
-
template<typename TParametersValueType = double, unsigned int NDimensions = 3>
class TranslationTransform : public itk::Transform<TParametersValueType, NDimensions, NDimensions> Translation transformation of a vector space (e.g. space coordinates)
The same functionality could be obtained by using the Affine transform, but with a large difference in performance.
- ITK Sphinx Examples:
