ITK  5.4.0
Insight Toolkit
SphinxExamples/src/Filtering/AnisotropicSmoothing/ComputeGradientAnisotropicDiffusion/Code.cxx
/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
int
main(int argc, char * argv[])
{
if (argc != 6)
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0];
std::cerr << " <InputFileName> <OutputFileName>";
std::cerr << " <numberOfIterations> <timeStep> <conductance>";
std::cerr << std::endl;
return EXIT_FAILURE;
}
const char * inputFileName = argv[1];
const char * outputFileName = argv[2];
constexpr unsigned int Dimension = 2;
using InputPixelType = float;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using OutputPixelType = unsigned char;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
const int numberOfIterations = std::stoi(argv[3]);
const InputPixelType timeStep = std::stod(argv[4]);
const InputPixelType conductance = std::stod(argv[5]);
const auto input = itk::ReadImage<InputImageType>(inputFileName);
auto filter = FilterType::New();
filter->SetInput(input);
filter->SetNumberOfIterations(numberOfIterations);
filter->SetTimeStep(timeStep);
filter->SetConductanceParameter(conductance);
auto rescaler = RescaleType::New();
rescaler->SetInput(filter->GetOutput());
rescaler->SetOutputMinimum(itk::NumericTraits<OutputPixelType>::min());
rescaler->SetOutputMaximum(itk::NumericTraits<OutputPixelType>::max());
try
{
itk::WriteImage(rescaler->GetOutput(), outputFileName);
}
catch (const itk::ExceptionObject & error)
{
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
itkGradientAnisotropicDiffusionImageFilter.h
itkImageFileReader.h
itkRescaleIntensityImageFilter.h
itkImageFileWriter.h
itk::NumericTraits
Define additional traits for native types such as int or float.
Definition: itkNumericTraits.h:59
itk::RescaleIntensityImageFilter
Applies a linear transformation to the intensity levels of the input Image.
Definition: itkRescaleIntensityImageFilter.h:133
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:88
itk::GradientAnisotropicDiffusionImageFilter
This filter performs anisotropic diffusion on a scalar itk::Image using the classic Perona-Malik,...
Definition: itkGradientAnisotropicDiffusionImageFilter.h:51
New
static Pointer New()
itk::GTest::TypedefsAndConstructors::Dimension2::Dimension
constexpr unsigned int Dimension
Definition: itkGTestTypedefsAndConstructors.h:44
itk::WriteImage
ITK_TEMPLATE_EXPORT void WriteImage(TImagePointer &&image, const std::string &filename, bool compress=false)
Definition: itkImageFileWriter.h:254