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| <div class="floatcenter">[[File:ITK_Examples_Baseline_Smoothing_VectorGradientAnisotropicDiffusionImageFilter.png]]</div>
| | {{warning|1=The media wiki content on this page is no longer maintained.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.}} |
| This example illustrates how to process an RGB image with a filter that accepts Vector images.
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| ==VectorGradientAnisotropicDiffusionImageFilter.cxx==
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| <source lang="cpp">
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| #include "itkImage.h"
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| #include "itkCastImageFilter.h"
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| #include "itkImageFileReader.h"
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| #include "itkVectorGradientAnisotropicDiffusionImageFilter.h"
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| #include "itkVectorToRGBImageAdaptor.h"
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| #include "itkRGBToVectorImageAdaptor.h"
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| #include "itkCastImageFilter.h"
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| #include "itksys/SystemTools.hxx"
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| #include <sstream>
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| #include "QuickView.h"
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| | |
| int main( int argc, char *argv[])
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| { | |
| // Verify arguments
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| if( argc < 2 )
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| {
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| std::cerr << "Usage: "<< std::endl;
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| std::cerr << argv[0];
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| std::cerr << " InputFileName";
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| std::cerr << " [NumberOfIterations] ";
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| std::cerr << " [Conductance]" << std::endl;
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| return EXIT_FAILURE;
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| }
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|
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| // 0) Parse arguments
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| std::string inputFileName = argv[1];
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| | |
| typedef itk::Image< itk::Vector<float, 3>, 2 > FloatImageType;
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| typedef itk::Image< itk::RGBPixel<float>, 2 > RGBImageType;
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|
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| // 1) Read the RGB image
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| typedef itk::ImageFileReader< RGBImageType > ReaderType;
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| ReaderType::Pointer reader = ReaderType::New();
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| reader->SetFileName( inputFileName );
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| | |
| // 2) Cast to Vector image for processing
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| typedef itk::RGBToVectorImageAdaptor<RGBImageType> AdaptorInputType;
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| AdaptorInputType::Pointer adaptInput = AdaptorInputType::New();
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| adaptInput->SetImage(reader->GetOutput());
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| typedef itk::CastImageFilter<AdaptorInputType,FloatImageType> CastInputType;
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| CastInputType::Pointer castInput = CastInputType::New();
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| castInput->SetInput(adaptInput);
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| | |
| // 3) Smooth the image
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| typedef itk::VectorGradientAnisotropicDiffusionImageFilter< FloatImageType, | |
| FloatImageType > VectorGradientAnisotropicDiffusionImageFilterType;
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| VectorGradientAnisotropicDiffusionImageFilterType::Pointer filter =
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| VectorGradientAnisotropicDiffusionImageFilterType::New();
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| filter->SetInput( castInput->GetOutput() );
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| filter->SetTimeStep(0.125);
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| if (argc > 2)
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| {
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| filter->SetNumberOfIterations(atoi(argv[2]));
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| }
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| if (argc > 3)
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| {
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| filter->SetConductanceParameter(atof(argv[3]));
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| }
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| | |
| // 4) Cast the Vector image to an RGB image for display
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| typedef itk::VectorToRGBImageAdaptor<FloatImageType> AdaptorOutputType;
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| AdaptorOutputType::Pointer adaptOutput = AdaptorOutputType::New();
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| adaptOutput->SetImage(filter->GetOutput());
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| typedef itk::CastImageFilter<AdaptorOutputType,RGBImageType> CastOutputType;
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| CastOutputType::Pointer castOutput = CastOutputType::New();
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| castOutput->SetInput(adaptOutput);
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|
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| // 5) Display the input and smoothed images
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| QuickView viewer;
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| viewer.AddRGBImage(
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| reader->GetOutput(),
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| true,
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| itksys::SystemTools::GetFilenameName(inputFileName));
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| | |
| std::stringstream desc;
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| desc << "VectorGradientAnisotropicDiffusionImageFilter\niterations: "
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| << filter->GetNumberOfIterations() << " conductance: "
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| << filter->GetConductanceParameter();
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| viewer.AddRGBImage(
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| castOutput->GetOutput(),
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| true,
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| desc.str());
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| viewer.Visualize();
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| | |
| return EXIT_SUCCESS;
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| }
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| </source>
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| {{ITKVTKCMakeLists|{{SUBPAGENAME}}}}
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