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| <div class="floatcenter">[[File:ITK_Examples_Baseline_Smoothing_TestSmoothingRecursiveGaussianImageFilter.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| | {{warning|1=The media wiki content on this page is no longer maintained.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 examples uses image adaptors to smooth RGB images. Each component is smoothed separately and the 3 resulting images are composed into an RGBImage.
| | }} |
| ==SmoothingRecursiveGaussianImageFilter.cxx==
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| <source lang="cpp">
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| #include "itkImage.h"
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| #include "itkImageFileReader.h"
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| #include "itkDiscreteGaussianImageFilter.h"
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| #include "itkSmoothingRecursiveGaussianImageFilter.h"
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| #include "itkRGBPixel.h"
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| #include "itkNthElementImageAdaptor.h"
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| #include "itkComposeRGBImageFilter.h"
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|
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|
| #include "QuickView.h"
| | [https://itk.org/ITKExamples[ITK Sphinx Examples]] |
| | |
| int main(int argc, char * argv[])
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| {
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| // Verify command line 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] << " inputImageFile [sigma]" << std::endl;
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| return EXIT_FAILURE;
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| }
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| | |
| double sigma = 4.0;
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| if (argc > 2)
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| {
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| sigma = atof(argv[2]);
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| }
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| | |
| | |
| const unsigned int Dimension = 2;
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| typedef unsigned char PixelComponentType;
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| | |
| typedef itk::Image<itk::RGBPixel< PixelComponentType>,
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| Dimension > ColorImageType;
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| typedef itk::Image<PixelComponentType, Dimension >
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| ScalarImageType;
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| typedef itk::ImageFileReader< ColorImageType >
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| ReaderType;
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| // Create and setup a reader
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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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| | |
| typedef itk::NthElementImageAdaptor<ColorImageType,
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| PixelComponentType> ImageAdaptorType;
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| | |
| typedef itk::SmoothingRecursiveGaussianImageFilter<
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| ImageAdaptorType, ScalarImageType > FilterType;
| |
| | |
| ImageAdaptorType::Pointer adaptorR = ImageAdaptorType::New();
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| adaptorR->SelectNthElement(0);
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| adaptorR->SetImage(reader->GetOutput());
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| | |
| FilterType::Pointer gaussianR = FilterType::New();
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| gaussianR->SetInput(adaptorR);
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| gaussianR->SetSigma(sigma);
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| | |
| ImageAdaptorType::Pointer adaptorG = ImageAdaptorType::New();
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| adaptorG->SelectNthElement(1);
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| adaptorG->SetImage(reader->GetOutput());
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| | |
| FilterType::Pointer gaussianG = FilterType::New();
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| gaussianG->SetInput(adaptorG);
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| gaussianG->SetSigma(sigma);
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| | |
| ImageAdaptorType::Pointer adaptorB = ImageAdaptorType::New();
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| adaptorB->SelectNthElement(2);
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| adaptorB->SetImage(reader->GetOutput());
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| | |
| FilterType::Pointer gaussianB = FilterType::New();
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| gaussianB->SetInput(adaptorB);
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| gaussianB->SetSigma(sigma);
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| | |
| typedef itk::ComposeRGBImageFilter<
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| ScalarImageType, ColorImageType > ComposeFilterType;
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| ComposeFilterType::Pointer composeFilter =
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| ComposeFilterType::New();
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| composeFilter->SetInput1(gaussianR->GetOutput());
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| composeFilter->SetInput2(gaussianG->GetOutput());
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| composeFilter->SetInput3(gaussianB->GetOutput());
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| | |
| QuickView viewer;
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| viewer.AddRGBImage(
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| reader->GetOutput(),true,
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| itksys::SystemTools::GetFilenameName(argv[1]));
| |
| | |
| std::stringstream desc;
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| desc << "SmoothingRecursiveGaussian\n sigma = " << sigma;
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| viewer.AddRGBImage(
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| composeFilter->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;
| |
| }
| |
| </source>
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| | |
| {{ITKVTKCMakeLists|SmoothingRecursiveGaussianImageFilter|}}
| |
