File: itkSymmetricSecondRankTensorImageReadTest.cxx

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/*=========================================================================
 *
 *  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 <fstream>
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"


int
itkSymmetricSecondRankTensorImageReadTest(int argc, char * argv[])
{
  if (argc < 1)
  {
    std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " Input\n";
    return EXIT_FAILURE;
  }

  using TensorPixelType = itk::SymmetricSecondRankTensor<float, 3>;
  using TensorImageType = itk::Image<TensorPixelType, 3>;

  using MatrixPixelType = itk::Matrix<float, 3, 3>;
  using MatrixImageType = itk::Image<MatrixPixelType, 3>;

  auto matrixImage = MatrixImageType::New();

  MatrixImageType::SizeType size;
  size.Fill(10);

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

  MatrixImageType::RegionType region{ start, size };

  matrixImage->SetRegions(region);
  matrixImage->Allocate();

  MatrixPixelType matrixPixel;

  matrixPixel[0][0] = 1;
  matrixPixel[0][1] = 2;
  matrixPixel[0][2] = 3;

  matrixPixel[1][0] = 2;
  matrixPixel[1][1] = 4;
  matrixPixel[1][2] = 5;

  matrixPixel[2][0] = 3;
  matrixPixel[2][1] = 5;
  matrixPixel[2][2] = 6;

  itk::ImageRegionIterator<MatrixImageType> itr(matrixImage, region);

  itr.GoToBegin();

  while (!itr.IsAtEnd())
  {
    itr.Set(matrixPixel);
    for (unsigned int i = 0; i < 3; ++i)
    {
      for (unsigned int j = 0; j < 3; ++j)
      {
        matrixPixel[i][j]++;
      }
    }
    ++itr;
  }

  try
  {
    itk::WriteImage(matrixImage, argv[1]);
    const TensorImageType::ConstPointer tensorImage = itk::ReadImage<TensorImageType>(argv[1]);

    // Compare the read values to the original values
    const float tolerance = 1e-5;

    itk::ImageRegionConstIterator<TensorImageType> tItr(tensorImage, region);
    itk::ImageRegionConstIterator<MatrixImageType> mItr(matrixImage, region);

    tItr.GoToBegin();
    mItr.GoToBegin();

    while (!mItr.IsAtEnd())
    {
      matrixPixel = mItr.Get();
      const TensorPixelType tensorPixel = tItr.Get();

      for (unsigned int i = 0; i < 3; ++i)
      {
        for (unsigned int j = 0; j < 3; ++j)
        {
          if (itk::Math::abs(matrixPixel[i][j] - tensorPixel(i, j)) > tolerance)
          {
            std::cerr << "Tensor read does not match expected values " << std::endl;
            std::cerr << "Index " << tItr.GetIndex() << std::endl;
            std::cerr << "Tensor value " << std::endl << tensorPixel << std::endl;
            std::cerr << "Matrix value " << std::endl << matrixPixel << std::endl;
            return EXIT_FAILURE;
          }
        }
      }
      ++mItr;
      ++tItr;
    }


    return EXIT_SUCCESS;
  }
  catch (const itk::ExceptionObject & excp)
  {
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
  }
}