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| <div class="floatcenter">[[File:ITK_Examples_Baseline_Smoothing_TestDiscreteGaussianImageFilter.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| | {{warning|1=The media wiki content on this page is no longer maintained.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.}} |
| Blur an image using a Gaussian kernel.
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| ==DiscreteGaussianImageFilter.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 "QuickView.h"
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| | |
| int main(int argc, char * argv[])
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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 [variance]" << std::endl;
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| return EXIT_FAILURE;
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| }
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| | |
| // Parse command line argumentsa
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| std::string inputFilename = argv[1];
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| | |
| double variance = 4.0;
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| if (argc > 2)
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| {
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| variance = atof(argv[2]);
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| }
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| | |
| // Setup types
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| typedef itk::Image< unsigned char, 2 > UnsignedCharImageType;
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| typedef itk::Image< float, 2 > FloatImageType;
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| | |
| typedef itk::ImageFileReader< UnsignedCharImageType > readerType;
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| | |
| typedef itk::DiscreteGaussianImageFilter<
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| UnsignedCharImageType, FloatImageType > filterType;
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| | |
| // Create and setup a reader
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| readerType::Pointer reader = readerType::New();
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| reader->SetFileName( inputFilename.c_str() );
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| // Create and setup a Gaussian filter
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| filterType::Pointer gaussianFilter = filterType::New();
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| gaussianFilter->SetInput( reader->GetOutput() );
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| gaussianFilter->SetVariance(variance);
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| QuickView viewer;
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| viewer.AddImage<UnsignedCharImageType>(reader->GetOutput());
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| viewer.AddImage<FloatImageType>(gaussianFilter->GetOutput());
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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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