ITK/Examples/Smoothing/SmoothingRecursiveGaussianImageFilter

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

<source lang="cpp">

1. include "itkImage.h"
2. include "itkImageFileReader.h"
3. include "itkDiscreteGaussianImageFilter.h"
4. include "itkSmoothingRecursiveGaussianImageFilter.h"
5. include "itkRGBPixel.h"
6. include "itkNthElementImageAdaptor.h"
7. include "itkComposeRGBImageFilter.h"

1. include "QuickView.h"

int main(int argc, char * argv[]) {

 // Verify command line arguments
 if( argc < 2 )
   {
   std::cerr << "Usage: " << std::endl;
   std::cerr << argv[0] << " inputImageFile [sigma]" << std::endl;
   return EXIT_FAILURE;
   }

 double sigma = 4.0;
 if (argc > 2)
   {
   sigma = atof(argv[2]);
   }

 const unsigned int Dimension = 2;
 typedef unsigned char PixelComponentType;

 typedef itk::Image<itk::RGBPixel< PixelComponentType>,
   Dimension > ColorImageType;

 typedef itk::ImageFileReader< ColorImageType >
   ReaderType;
 // Create and setup a reader
 ReaderType::Pointer reader = ReaderType::New();
 reader->SetFileName( argv[1] );
 reader->Update();

 typedef itk::SmoothingRecursiveGaussianImageFilter<
   ColorImageType, ColorImageType >  FilterType;

 FilterType::Pointer smoothingRecursiveGaussianImageFilter = FilterType::New();
 smoothingRecursiveGaussianImageFilter->SetInput(reader->GetOutput());
 smoothingRecursiveGaussianImageFilter->SetSigma(sigma);
 smoothingRecursiveGaussianImageFilter->Update();

 QuickView viewer;
 viewer.AddRGBImage(
   reader->GetOutput(),true,
   itksys::SystemTools::GetFilenameName(argv[1]));

 std::stringstream desc;
 desc << "SmoothingRecursiveGaussian\n sigma = " << sigma;
 viewer.AddRGBImage(
   smoothingRecursiveGaussianImageFilter.GetPointer(),
   true,
   desc.str());

 viewer.Visualize();

 return EXIT_SUCCESS;

}

</source>

CMakeLists.txt

<syntaxhighlight lang="cmake"> cmake_minimum_required(VERSION 3.9.5)

project(SmoothingRecursiveGaussianImageFilter)

find_package(ITK REQUIRED) include(${ITK_USE_FILE}) if (ITKVtkGlue_LOADED)

 find_package(VTK REQUIRED)
 include(${VTK_USE_FILE})

else()

 find_package(ItkVtkGlue REQUIRED)
 include(${ItkVtkGlue_USE_FILE})
 set(Glue ItkVtkGlue)

endif()

add_executable(SmoothingRecursiveGaussianImageFilter MACOSX_BUNDLE SmoothingRecursiveGaussianImageFilter.cxx) target_link_libraries(SmoothingRecursiveGaussianImageFilter

 ${Glue}  ${VTK_LIBRARIES} ${ITK_LIBRARIES})

</syntaxhighlight>

Download and Build SmoothingRecursiveGaussianImageFilter

Click here to download SmoothingRecursiveGaussianImageFilter. and its CMakeLists.txt file. Once the tarball SmoothingRecursiveGaussianImageFilter.tar has been downloaded and extracted,

cd SmoothingRecursiveGaussianImageFilter/build 

• If ITK is installed:

cmake ..

• If ITK is not installed but compiled on your system, you will need to specify the path to your ITK build:

cmake -DITK_DIR:PATH=/home/me/itk_build ..

Build the project,

make

and run it:

./SmoothingRecursiveGaussianImageFilter

WINDOWS USERS PLEASE NOTE: Be sure to add the VTK and ITK bin directories to your path. This will resolve the VTK and ITK dll's at run time.

Building All of the Examples

Many of the examples in the ITK Wiki Examples Collection require VTK. You can build all of the the examples by following these instructions. If you are a new VTK user, you may want to try the Superbuild which will build a proper ITK and VTK.

ItkVtkGlue

ITK >= 4

For examples that use QuickView (which depends on VTK), you must have built ITK with Module_ITKVtkGlue=ON.

ITK < 4

Some of the ITK Examples require VTK to display the images. If you download the entire ITK Wiki Examples Collection, the ItkVtkGlue directory will be included and configured. If you wish to just build a few examples, then you will need to download ItkVtkGlue and build it. When you run cmake it will ask you to specify the location of the ItkVtkGlue binary directory.