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| I believe this is basically correct. Perhaps a better/more intuitive example could be used.
| | {{warning|1=The media wiki content on this page is no longer maintained.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. |
| | | }} |
| ==NormalizedCorrelationImageFilterMasked.cxx==
| |
| <source lang="cpp">
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| // Maximum value is inf??
| |
| | |
| #include "itkImage.h"
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| #include "itkImageFileReader.h"
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| #include "itkNormalizedCorrelationImageFilter.h"
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| #include "itkRegionOfInterestImageFilter.h"
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| #include "itkImageKernelOperator.h"
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| #include "itkRescaleIntensityImageFilter.h"
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| #include "itkImageFileWriter.h"
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| #include "itkMinimumMaximumImageCalculator.h"
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| | |
| #include <iostream>
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| #include <string>
| |
| | |
| typedef itk::Image<unsigned char, 2> ImageType;
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| typedef itk::Image<unsigned char, 2> MaskType;
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| typedef itk::Image<float, 2> FloatImageType;
| |
| | |
| void CreateMask(MaskType* const mask);
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| void CreateImage(ImageType* const image);
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| void CreateImageOfSquare(ImageType* const image, const itk::Index<2>& cornerOfSquare);
| |
| | |
| template <typename TImage>
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| void WriteImage(const TImage* const image, const std::string& filename);
| |
| | |
| int main(int argc, char *argv[])
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| { | |
| // Setup mask
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| MaskType::Pointer mask = MaskType::New();
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| CreateMask(mask);
| |
| | |
| WriteImage(mask.GetPointer(), "mask.png");
| |
| | |
| // Setup image1
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| ImageType::Pointer image1 = ImageType::New();
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| itk::Index<2> cornerOfSquare1;
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| cornerOfSquare1[0] = 3;
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| cornerOfSquare1[1] = 8;
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| CreateImageOfSquare(image1, cornerOfSquare1);
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| WriteImage(image1.GetPointer(), "image1.png");
| |
| | |
| // Setup image2
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| itk::Index<2> offset;
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| offset[0] = 20;
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| offset[1] = 6;
| |
| | |
| ImageType::Pointer image2 = ImageType::New();
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| itk::Index<2> cornerOfSquare2;
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| cornerOfSquare2[0] = cornerOfSquare1[0] + offset[0];
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| cornerOfSquare2[1] = cornerOfSquare1[1] + offset[1];
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| CreateImageOfSquare(image2, cornerOfSquare2);
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|
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| WriteImage(image2.GetPointer(), "image2.png");
| |
| | |
| // Create a kernel from an image
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| itk::ImageKernelOperator<unsigned char> kernelOperator;
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| kernelOperator.SetImageKernel(image1);
| |
| | |
| // The radius of the kernel must be the radius of the patch, NOT the size of the patch
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| itk::Size<2> radius;
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| radius[0] = image1->GetLargestPossibleRegion().GetSize()[0]/2;
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| radius[1] = image1->GetLargestPossibleRegion().GetSize()[1]/2;
| |
| | |
| if(radius[0] % 2 == 0 || radius[1] % 2 == 0)
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| {
| |
| std::cerr << "Input must have odd dimensions!" << std::endl;
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| return EXIT_FAILURE;
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| }
| |
| | |
| kernelOperator.CreateToRadius(radius);
| |
| | |
| // Perform normalized correlation
| |
| // <input type, mask type, output type>
| |
| typedef itk::NormalizedCorrelationImageFilter<ImageType, MaskType, FloatImageType, unsigned char> CorrelationFilterType;
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| CorrelationFilterType::Pointer correlationFilter = CorrelationFilterType::New();
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| correlationFilter->SetInput(image2);
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| correlationFilter->SetMaskImage(mask);
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| correlationFilter->SetTemplate(kernelOperator);
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| correlationFilter->Update();
| |
| | |
| WriteImage(correlationFilter->GetOutput(), "correlation.mha");
| |
| | |
| typedef itk::RescaleIntensityImageFilter<FloatImageType, ImageType> RescaleFilterType;
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| RescaleFilterType::Pointer rescaleFilter = RescaleFilterType::New();
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| rescaleFilter->SetInput(correlationFilter->GetOutput());
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| rescaleFilter->SetOutputMinimum(0);
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| rescaleFilter->SetOutputMaximum(255);
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| rescaleFilter->Update();
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| WriteImage(rescaleFilter->GetOutput(), "correlation.png");
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|
| |
| typedef itk::MinimumMaximumImageCalculator<FloatImageType> MinimumMaximumImageCalculatorType;
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| MinimumMaximumImageCalculatorType::Pointer minimumMaximumImageCalculatorFilter = MinimumMaximumImageCalculatorType::New ();
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| minimumMaximumImageCalculatorFilter->SetImage(correlationFilter->GetOutput());
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| minimumMaximumImageCalculatorFilter->Compute();
| |
| | |
| itk::Index<2> maximumCorrelationPatchCenter = minimumMaximumImageCalculatorFilter->GetIndexOfMaximum();
| |
| | |
| // This is the value we expect!
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| std::cout << "Maximum location fixed: " << maximumCorrelationPatchCenter - radius << std::endl;
| |
| | |
| // If the images can be perfectly aligned, the value is 1
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| std::cout << "Maximum value: " << minimumMaximumImageCalculatorFilter->GetMaximum() << std::endl;
| |
| | |
| return EXIT_SUCCESS;
| |
| }
| |
| | |
| void CreateMask(MaskType* const mask)
| |
| {
| |
| ImageType::IndexType start;
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| start.Fill(0);
| |
| | |
| ImageType::SizeType size;
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| size.Fill(51);
| |
| | |
| ImageType::RegionType region(start,size); | |
| | |
| mask->SetRegions(region);
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| mask->Allocate();
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| mask->FillBuffer(255); // Make the whole mask "valid"
| |
| | |
| //unsigned int squareSize = 8;
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| unsigned int squareSize = 3;
| |
| | |
| itk::Index<2> cornerOfSquare = {{3,8}};
| |
| | |
| // Remove pixels from the mask in a small square. The correlationw will not be computed at these pixels.
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| itk::ImageRegionIterator<MaskType> maskIterator(mask, region);
| |
| | |
| while(!maskIterator.IsAtEnd())
| |
| {
| |
| if(maskIterator.GetIndex()[0] > cornerOfSquare[0] &&
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| maskIterator.GetIndex()[0] < cornerOfSquare[0] + squareSize &&
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| maskIterator.GetIndex()[1] > cornerOfSquare[1] &&
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| maskIterator.GetIndex()[1] < cornerOfSquare[1] + squareSize)
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| {
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| maskIterator.Set(0);
| |
| }
| |
| | |
| ++maskIterator;
| |
| }
| |
| }
| |
| | |
| void CreateImage(ImageType* const image)
| |
| {
| |
| ImageType::IndexType start;
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| start.Fill(0);
| |
| | |
| ImageType::SizeType size;
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| size.Fill(51);
| |
| | |
| ImageType::RegionType region(start,size);
| |
| | |
| image->SetRegions(region);
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| image->Allocate();
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| image->FillBuffer(0);
| |
| }
| |
| | |
| void CreateImageOfSquare(ImageType* const image, const itk::Index<2>& cornerOfSquare)
| |
| {
| |
| ImageType::IndexType start;
| |
| start.Fill(0);
| |
| | |
| ImageType::SizeType size;
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| size.Fill(51);
| |
| | |
| ImageType::RegionType region(start,size);
| |
| | |
| image->SetRegions(region);
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| image->Allocate();
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| image->FillBuffer(0);
| |
| | |
| itk::ImageRegionIterator<ImageType> imageIterator(image,region);
| |
| | |
| unsigned int squareSize = 8;
| |
| | |
| while(!imageIterator.IsAtEnd())
| |
| {
| |
| if(imageIterator.GetIndex()[0] > cornerOfSquare[0] &&
| |
| imageIterator.GetIndex()[0] < cornerOfSquare[0] + squareSize &&
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| imageIterator.GetIndex()[1] > cornerOfSquare[1] &&
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| imageIterator.GetIndex()[1] < cornerOfSquare[1] + squareSize)
| |
| {
| |
| imageIterator.Set(255);
| |
| }
| |
| | |
| ++imageIterator;
| |
| }
| |
| }
| |
| | |
| template <typename TImage>
| |
| void WriteImage(const TImage* const image, const std::string& filename)
| |
| {
| |
| typedef itk::ImageFileWriter<TImage> WriterType;
| |
| typename WriterType::Pointer writer = WriterType::New();
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| writer->SetFileName(filename);
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| writer->SetInput(image);
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| writer->Update();
| |
| | |
| }
| |
| | |
| </source>
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| {{ITKCMakeLists|{{SUBPAGENAME}}}}
| |
