ITK/Release 4/Why Switch to ITKv4/SimplifiedITK/DiscreteGaussianFilter: Difference between revisions
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(Created page with "=== C++ === <source lang="cpp"> // Setup image types. typedef float InputPixelType; typedef float OutputPixelType; typedef itk::Image<InputPixelType, 2> InputImageType; ...") |
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=== WrapITK === | === WrapITK === | ||
=== SimpleITK === | |||
<source lang="python"> | |||
import SimpleITK | |||
input = SimpleITK.ReadImage ( filename ) | |||
</source> | |||
output = SimpleITK.DiscreteGaussianFilter( input, 1.0, 5 ) | |||
Revision as of 22:54, 30 August 2011
C++
<source lang="cpp">
// Setup image types.
typedef float InputPixelType;
typedef float OutputPixelType;
typedef itk::Image<InputPixelType, 2> InputImageType;
typedef itk::Image<OutputPixelType,2> OutputImageType;
// Filter type
typedef itk::DiscreteGaussianImageFilter<
InputImageType, OutputImageType >
FilterType;
// Create a filter
FilterType::Pointer filter = FilterType::New();
// Create the pipeline
filter->SetInput( reader->GetOutput() );
filter->SetVariance( 1.0 );
filter->SetMaximumKernelWidth( 5 );
filter->Update();
OutputImageType::Pointer blurred = filter->GetOutput();
</source>
WrapITK
SimpleITK
<source lang="python"> import SimpleITK input = SimpleITK.ReadImage ( filename ) </source> output = SimpleITK.DiscreteGaussianFilter( input, 1.0, 5 )
