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| ==RGBResampleImageFilter.cxx==
| | {{warning|1=The media wiki content on this page is no longer maintained.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 releases. In many cases, the examples on this page no longer conform to the best practices for modern ITK versions. |
| <source lang="cpp">
| | }} |
| | |
| #include "itkImage.h"
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| #include "itkIdentityTransform.h"
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| #include "itkImageFileReader.h"
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| #include "itkVectorResampleImageFilter.h"
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| #include "itkVectorNearestNeighborInterpolateImageFunction.h"
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| #include "itkRGBPixel.h"
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| | |
| #include "QuickView.h"
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| | |
| typedef itk::Image<itk::RGBPixel<unsigned char>, 2> ImageType;
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| | |
| static void CreateImage(ImageType::Pointer image);
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| | |
| int main(int argc, char *argv[])
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| {
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| double factor = 2.0;
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| | |
| // Create input image
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| ImageType::Pointer input;
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| if(argc < 2)
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| {
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| input = ImageType::New();
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| CreateImage(input);
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| }
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| else
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| {
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| typedef itk::ImageFileReader<ImageType> ReaderType;
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| ReaderType::Pointer reader = ReaderType::New();
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| reader->SetFileName(argv[1]);
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| reader->Update();
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| input = reader->GetOutput();
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| if (argc > 2)
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| {
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| factor = atof(argv[2]);
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| }
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| }
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| | |
| ImageType::SizeType inputSize = input->GetLargestPossibleRegion().GetSize();
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| std::cout << "Input size: " << inputSize << std::endl;
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| | |
| // Resize
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| ImageType::SizeType outputSize;
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| outputSize[0] = inputSize[0] * factor;
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| outputSize[1] = inputSize[1] * factor;
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| | |
| ImageType::SpacingType outputSpacing;
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| outputSpacing[0] = input->GetSpacing()[0] * (static_cast<double>(inputSize[0]) / static_cast<double>(outputSize[0]));
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| outputSpacing[1] = input->GetSpacing()[1] * (static_cast<double>(inputSize[1]) / static_cast<double>(outputSize[1]));
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|
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| typedef itk::IdentityTransform<double, 2> TransformType;
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| typedef itk::VectorResampleImageFilter<ImageType, ImageType> ResampleImageFilterType;
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| ResampleImageFilterType::Pointer resample = ResampleImageFilterType::New();
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| resample->SetInput(input);
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| resample->SetSize(outputSize);
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| resample->SetOutputSpacing(outputSpacing);
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| resample->SetTransform(TransformType::New());
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| resample->UpdateLargestPossibleRegion();
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|
| |
| typedef itk::VectorNearestNeighborInterpolateImageFunction<
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| ImageType, double > NearestInterpolatorType;
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| NearestInterpolatorType::Pointer nnInterpolator =
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| NearestInterpolatorType::New();
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| | |
| ResampleImageFilterType::Pointer resampleNN =
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| ResampleImageFilterType::New();
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| resampleNN->SetInput(input);
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| resampleNN->SetSize(outputSize);
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| resampleNN->SetOutputSpacing(outputSpacing);
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| resampleNN->SetTransform(TransformType::New());
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| resampleNN->SetInterpolator(nnInterpolator);
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| resampleNN->UpdateLargestPossibleRegion();
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|
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| ImageType::Pointer output = resample->GetOutput();
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|
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| std::cout << "Output size: " << output->GetLargestPossibleRegion().GetSize() << std::endl;
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| QuickView viewer;
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| viewer.AddRGBImage(input.GetPointer(),
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| true,
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| "Original");
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| viewer.AddRGBImage(output.GetPointer(),
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| true,
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| "Resampled");
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| viewer.AddRGBImage(resampleNN->GetOutput(),
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| true,
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| "Resampled NN");
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| | |
| viewer.Visualize();
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| | |
| return EXIT_SUCCESS;
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| }
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| | |
| void CreateImage(ImageType::Pointer image)
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| {
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| // Create a black image with 2 white regions
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|
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| ImageType::IndexType start;
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| start.Fill(0);
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| ImageType::SizeType size;
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| size.Fill(200);
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| | |
| ImageType::RegionType region(start,size); | |
| image->SetRegions(region);
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| image->Allocate();
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| image->FillBuffer( itk::NumericTraits< ImageType::PixelType >::Zero);
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|
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| ImageType::PixelType pixel;
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| pixel.SetRed(200);
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| pixel.SetGreen(50);
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| pixel.SetBlue(50);
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| | |
| // Make a square
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| for(unsigned int r = 20; r < 80; r++)
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| {
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| for(unsigned int c = 30; c < 100; c++)
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| {
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| ImageType::IndexType pixelIndex;
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| pixelIndex[0] = r;
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| pixelIndex[1] = c;
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| image->SetPixel(pixelIndex, pixel);
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| | |
| }
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| }
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| | |
| }
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| </source>
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| | |
| {{ITKCMakeLists|RGBResampleImageFilter}}
| |