ITK/Examples/ImageProcessing/ConvolutionImageFilter

ConvolutionImageFilter.cxx

<source lang="cpp">

1. include "itkImage.h"
2. include "itkImageFileReader.h"
3. include "itkConvolutionImageFilter.h"
4. include "itkImageRegionIterator.h"

1. include "QuickView.h"

typedef itk::Image<float, 2> ImageType;

void CreateKernel(ImageType::Pointer kernel, unsigned int width);

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

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

 // Parse command line arguments
 unsigned int width = 3;
 if (argc > 2)
   {
   width = atoi(argv[2]);
   }

 ImageType::Pointer kernel = ImageType::New();
 CreateKernel(kernel, width);
 
 typedef itk::ImageFileReader<ImageType>        ReaderType;
 typedef itk::ConvolutionImageFilter<ImageType> FilterType;

 // Create and setup a reader
 ReaderType::Pointer reader = ReaderType::New();
 reader->SetFileName( argv[1] );

 // Convolve image with kernel.
 FilterType::Pointer convolutionFilter = FilterType::New();
 convolutionFilter->SetInput(reader->GetOutput());
 convolutionFilter->SetImageKernelInput(kernel);

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

 std::stringstream desc;
 desc << "ConvolutionFilter\n"
      << "Kernel Witdh = " << width;
 viewer.AddImage<ImageType>(
   convolutionFilter->GetOutput(),
   true,
   desc.str());
 viewer.Visualize();

 return EXIT_SUCCESS;

}

void CreateKernel(ImageType::Pointer kernel, unsigned int width) {

 ImageType::IndexType start;
 start.Fill(0);

 ImageType::SizeType size;
 size.Fill(width);

 ImageType::RegionType region;
 region.SetSize(size);
 region.SetIndex(start);

 kernel->SetRegions(region);
 kernel->Allocate();
 
 itk::ImageRegionIterator<ImageType> imageIterator(kernel, region);

 while(!imageIterator.IsAtEnd())
   {
   //imageIterator.Set(255);
   imageIterator.Set(1);

   ++imageIterator;
   }

} </source>

CMakeLists.txt

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

project(ConvolutionImageFilter)

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(ConvolutionImageFilter MACOSX_BUNDLE ConvolutionImageFilter.cxx) target_link_libraries(ConvolutionImageFilter

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

</syntaxhighlight>

Download and Build ConvolutionImageFilter

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

cd ConvolutionImageFilter/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:

./ConvolutionImageFilter

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.