|
|
| (One intermediate revision by one other user not shown) |
| Line 1: |
Line 1: |
| <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| | {{warning|1=The media wiki content on this page is no longer maintained.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.
| |
| ==VectorGradientAnisotropicDiffusionImageFilter.cxx==
| |
| <source lang="cpp">
| |
| #include "itkImage.h"
| |
| #include "itkCastImageFilter.h"
| |
| #include "itkImageFileReader.h"
| |
| #include "itkVectorGradientAnisotropicDiffusionImageFilter.h"
| |
| #include "itkVectorToRGBImageAdaptor.h"
| |
| #include "itkRGBToVectorImageAdaptor.h"
| |
| #include "itkCastImageFilter.h"
| |
| | |
| #include "itksys/SystemTools.hxx"
| |
| #include <sstream>
| |
| | |
| #include "QuickView.h"
| |
| | |
| int main( int argc, char *argv[])
| |
| { | |
| // Verify arguments
| |
| if( argc < 2 )
| |
| {
| |
| std::cerr << "Usage: "<< std::endl;
| |
| std::cerr << argv[0];
| |
| std::cerr << " InputFileName";
| |
| std::cerr << " [NumberOfIterations] ";
| |
| std::cerr << " [Conductance]" << std::endl;
| |
| return EXIT_FAILURE;
| |
| }
| |
|
| |
| // 0) Parse arguments
| |
| std::string inputFileName = argv[1];
| |
| | |
| typedef itk::Image< itk::Vector<float, 3>, 2 > FloatImageType;
| |
| typedef itk::Image< itk::RGBPixel<float>, 2 > RGBImageType;
| |
|
| |
| // 1) Read the RGB image
| |
| typedef itk::ImageFileReader< RGBImageType > ReaderType;
| |
| ReaderType::Pointer reader = ReaderType::New();
| |
| reader->SetFileName( inputFileName );
| |
| | |
| // 2) Cast to Vector image for processing
| |
| typedef itk::RGBToVectorImageAdaptor<RGBImageType> AdaptorInputType;
| |
| AdaptorInputType::Pointer adaptInput = AdaptorInputType::New();
| |
| adaptInput->SetImage(reader->GetOutput());
| |
| typedef itk::CastImageFilter<AdaptorInputType,FloatImageType> CastInputType;
| |
| CastInputType::Pointer castInput = CastInputType::New();
| |
| castInput->SetInput(adaptInput);
| |
| | |
| // 3) Smooth the image
| |
| typedef itk::VectorGradientAnisotropicDiffusionImageFilter< FloatImageType, | |
| FloatImageType > VectorGradientAnisotropicDiffusionImageFilterType;
| |
| VectorGradientAnisotropicDiffusionImageFilterType::Pointer filter =
| |
| VectorGradientAnisotropicDiffusionImageFilterType::New();
| |
| filter->SetInput( castInput->GetOutput() );
| |
| filter->SetTimeStep(0.125);
| |
| if (argc > 2)
| |
| {
| |
| filter->SetNumberOfIterations(atoi(argv[2]));
| |
| }
| |
| if (argc > 3)
| |
| {
| |
| filter->SetConductanceParameter(atof(argv[3]));
| |
| }
| |
| | |
| // 4) Cast the Vector image to an RGB image for display
| |
| typedef itk::VectorToRGBImageAdaptor<FloatImageType> AdaptorOutputType;
| |
| AdaptorOutputType::Pointer adaptOutput = AdaptorOutputType::New();
| |
| adaptOutput->SetImage(filter->GetOutput());
| |
| typedef itk::CastImageFilter<AdaptorOutputType,RGBImageType> CastOutputType;
| |
| CastOutputType::Pointer castOutput = CastOutputType::New();
| |
| castOutput->SetInput(adaptOutput);
| |
|
| |
| // 5) Display the input and smoothed images
| |
| QuickView viewer;
| |
| viewer.AddRGBImage(
| |
| reader->GetOutput(),
| |
| true,
| |
| itksys::SystemTools::GetFilenameName(inputFileName));
| |
| | |
| std::stringstream desc;
| |
| desc << "VectorGradientAnisotropicDiffusionImageFilter\niterations: "
| |
| << filter->GetNumberOfIterations() << " conductance: "
| |
| << filter->GetConductanceParameter();
| |
| viewer.AddRGBImage(
| |
| castOutput->GetOutput(),
| |
| true,
| |
| desc.str());
| |
| | |
| viewer.Visualize();
| |
| | |
| return EXIT_SUCCESS;
| |
| }
| |
| </source>
| |
| | |
| {{ITKCMakeLists|{{SUBPAGENAME}}}}
| |
