ITK/Examples/ImageProcessing/BinaryFunctorImageFilterCustom: Difference between revisions

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This example computes the squared difference between corresponding pixels. Note: This functionality is already available in SquaredDifferenceImageFilter. We simply use this as a simple operation to demonstrate the BinaryFunctorImageFilter.
{{warning|1=The media wiki content on this page is no longer maintained.  The examples presented on the https://itk.org/Wiki/*  pages likely require ITK version 4.13 or earlier releasesIn many cases, the examples on this page no longer conform to the best practices for modern ITK versions.
 
}}
 
==BinaryFunctorImageFilterCustom.cxx==
<source lang="cpp">
#include "itkVectorImage.h"
#include "itkVector.h"
#include "itkVariableLengthVector.h"
#include "itkRigid2DTransform.h"
#include "itkBinaryFunctorImageFilter.h"
 
typedef itk::Image<float, 2>  ImageType;
static void CreateImage(ImageType::Pointer image);
 
namespace Functor
{
template< class TPixel>
class MySquaredDifference
{
public:
  MySquaredDifference() {}
  ~MySquaredDifference() {}
  bool operator!=(const MySquaredDifference &) const
  {
    return false;
  }
 
  bool operator==(const MySquaredDifference & other) const
  {
    return !( *this != other );
  }
 
  inline TPixel operator()(const TPixel & A,
                            const TPixel & B) const
  {
    const double dA = static_cast< double >( A );
    const double dB = static_cast< double >( B );
    const double diff = dA - dB;
 
    return static_cast< TPixel >( diff * diff );
  }
};
}
 
int main(int, char *[])
{
  ImageType::Pointer image1 = ImageType::New();
  CreateImage(image1);
  image1->FillBuffer(2);
 
  ImageType::Pointer image2 = ImageType::New();
  CreateImage(image2);
  image2->FillBuffer(5);
 
  typedef itk::BinaryFunctorImageFilter< ImageType, ImageType, ImageType,
                            Functor::MySquaredDifference<ImageType::PixelType> > FilterType;
 
  FilterType::Pointer filter = FilterType::New();
  filter->SetInput1(image1);
  filter->SetInput2(image2);
  filter->Update();
 
  itk::Index<2> pixelIndex;
  pixelIndex.Fill(0);
 
  ImageType::PixelType input1PixelValue = image1->GetPixel(pixelIndex);
  ImageType::PixelType input2PixelValue = image2->GetPixel(pixelIndex);
  ImageType::PixelType outputPixelValue = filter->GetOutput()->GetPixel(pixelIndex);
 
  std::cout << "pixel1 was = " << input1PixelValue << std::endl;
  std::cout << "pixel2 was = " << input2PixelValue << std::endl;
  std::cout << "output is = " << outputPixelValue << std::endl;
 
  return EXIT_SUCCESS;
}
 
void CreateImage(ImageType::Pointer image)
{
  ImageType::IndexType start;
  start.Fill(0);
 
  ImageType::SizeType size;
  size.Fill(10);
 
   ImageType::RegionType region(start,size);
  image->SetRegions(region);
  image->Allocate();
 
}
</source>
 
{{ITKCMakeLists|{{SUBPAGENAME}}}}

Latest revision as of 20:05, 5 June 2019

Warning: The media wiki content on this page is no longer maintained. The examples presented on the https://itk.org/Wiki/* pages likely require ITK version 4.13 or earlier releases. In many cases, the examples on this page no longer conform to the best practices for modern ITK versions.