Compute Gradient Magnitude of Grayscale Image¶
Synopsis¶
This example demonstrates how to compute the magnitude of the gradient of an image.
Results¶
Input image¶
Output image¶
Code¶
C++¶
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkGradientMagnitudeImageFilter.h"
int
main(int argc, char * argv[])
{
  // Verify command line arguments
  if (argc != 3)
  {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << " <InputImage> <OutputImage" << std::endl;
    return EXIT_FAILURE;
  }
  const char * inputFileName = argv[1];
  const char * outputFileName = argv[2];
  constexpr unsigned int Dimension = 2;
  using InputPixelType = unsigned char;
  using InputImageType = itk::Image<InputPixelType, Dimension>;
  using OutputPixelType = float;
  using OutputImageType = itk::Image<OutputPixelType, Dimension>;
  // Create and setup a reader
  using ReaderType = itk::ImageFileReader<InputImageType>;
  ReaderType::Pointer reader = ReaderType::New();
  reader->SetFileName(inputFileName);
  // Create and setup a gradient filter
  using FilterType = itk::GradientMagnitudeImageFilter<InputImageType, OutputImageType>;
  FilterType::Pointer gradientFilter = FilterType::New();
  gradientFilter->SetInput(reader->GetOutput());
  using WriterType = itk::ImageFileWriter<OutputImageType>;
  WriterType::Pointer writer = WriterType::New();
  writer->SetFileName(outputFileName);
  writer->SetInput(gradientFilter->GetOutput());
  try
  {
    writer->Update();
  }
  catch (itk::ExceptionObject & error)
  {
    std::cerr << "Error: " << error << std::endl;
    return EXIT_FAILURE;
  }
  return EXIT_SUCCESS;
}
Classes demonstrated¶
- 
template<typename 
TInputImage, typenameTOutputImage>
classGradientMagnitudeImageFilter: public itk::ImageToImageFilter<TInputImage, TOutputImage> Computes the gradient magnitude of an image region at each pixel.
- See
 Image
- See
 Neighborhood
- See
 NeighborhoodOperator
- See
 NeighborhoodIterator
- ITK Sphinx Examples:
 

