SphinxExamples/src/Numerics/Statistics/ComputeTextureFeatures/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.
 *
 *=========================================================================*/
#include "itkImage.h"
#include "itkRandomImageSource.h"
#include "itkScalarImageToTextureFeaturesFilter.h"
 
using ImageType = itk::Image<float, 2>;
 
static void CreateImage(ImageType::Pointer);
 
int
main()
{
  auto image = ImageType::New();
  CreateImage(image);
 
  using TextureFilterType = itk::Statistics::ScalarImageToTextureFeaturesFilter<ImageType>;
  auto textureFilter = TextureFilterType::New();
  textureFilter->SetInput(image);
  textureFilter->Update();
 
  const TextureFilterType::FeatureValueVector * output = textureFilter->GetFeatureMeans();
  for (unsigned int i = 0; i < output->size(); ++i)
  {
    std::cout << (*output)[i] << std::endl;
  }
 
  return EXIT_SUCCESS;
}
 
static void
CreateImage(ImageType::Pointer image)
{
  itk::Index<2> index{};
 
  auto size = itk::Size<2>::Filled(100);
 
  itk::ImageRegion<2> region(index, size);
  image->SetRegions(region);
  image->Allocate();
}