Multiply Kernel With an Image at Location#
Synopsis#
This will multiply a kernel with an image at a particular location.
Results#
Output:
Sum on border: 4
Sum in center: 9
Sum outside: 0
Code#
C++#
#include "itkImage.h"
#include "itkNeighborhoodOperatorImageFunction.h"
#include "itkNeighborhoodOperator.h"
using UnsignedCharImageType = itk::Image<unsigned char, 2>;
static void
CreateImage(UnsignedCharImageType::Pointer image);
int
main()
{
auto image = UnsignedCharImageType::New();
CreateImage(image);
itk::Neighborhood<float, 2> neighborhood;
neighborhood.SetRadius(1);
for (unsigned int i = 0; i < neighborhood.GetSize()[0] * neighborhood.GetSize()[1]; ++i)
{
neighborhood[i] = 1;
}
using NeighborhoodOperatorImageFunctionType = itk::NeighborhoodOperatorImageFunction<UnsignedCharImageType, float>;
NeighborhoodOperatorImageFunctionType::Pointer neighborhoodOperatorImageFunction =
NeighborhoodOperatorImageFunctionType::New();
neighborhoodOperatorImageFunction->SetOperator(neighborhood);
neighborhoodOperatorImageFunction->SetInputImage(image);
{
itk::Index<2> index;
index.Fill(20);
float output = neighborhoodOperatorImageFunction->EvaluateAtIndex(index);
std::cout << "Sum on border: " << output << std::endl;
}
{
itk::Index<2> index;
index.Fill(35);
float output = neighborhoodOperatorImageFunction->EvaluateAtIndex(index);
std::cout << "Sum in center: " << output << std::endl;
}
{
itk::Index<2> index;
index.Fill(7);
float output = neighborhoodOperatorImageFunction->EvaluateAtIndex(index);
std::cout << "Sum outside: " << output << std::endl;
}
return EXIT_SUCCESS;
}
void
CreateImage(UnsignedCharImageType::Pointer image)
{
// Create an image with 2 connected components
UnsignedCharImageType::IndexType start;
start.Fill(0);
UnsignedCharImageType::SizeType size;
size.Fill(100);
UnsignedCharImageType::RegionType region(start, size);
image->SetRegions(region);
image->Allocate();
image->FillBuffer(0);
// Make a square
for (unsigned int r = 20; r < 80; ++r)
{
for (unsigned int c = 20; c < 80; ++c)
{
UnsignedCharImageType::IndexType pixelIndex;
pixelIndex[0] = r;
pixelIndex[1] = c;
image->SetPixel(pixelIndex, 1);
}
}
}
Classes demonstrated#
-
template<typename TInputImage, typename TOutput>
class NeighborhoodOperatorImageFunction : public itk::ImageFunction<TInputImage, TOutput> Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type.
- See
NeighborhoodOperator
- See
ImageFunction
- ITK Sphinx Examples: