/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/

//  Software Guide : BeginCommandLineArgs
//    INPUTS:  {BrainProtonDensitySlice.png}
//    OUTPUTS: {ResampleImageFilterOutput10.png}
//    ARGUMENTS:    -15
//  Software Guide : EndCommandLineArgs
//  Software Guide : BeginLatex
//
//  The following example illustrates how to rotate an image around its
//  center.  In this particular case an \doxygen{AffineTransform} is used to
//  map the input space into the output space.
//
//  \index{itk::AffineTransform!resampling}
//
//  Software Guide : EndLatex


#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkResampleImageFilter.h"


//  Software Guide : BeginLatex
//
//  The header of the affine transform is included below.
//
//  Software Guide : EndLatex

// Software Guide : BeginCodeSnippet
#include "itkAffineTransform.h"
// Software Guide : EndCodeSnippet


int
main(int argc, char * argv[])
{
  if (argc < 4)
  {
    std::cerr << "Usage: " << std::endl;
    std::cerr << argv[0] << "  inputImageFile  outputImageFile  degrees"
              << std::endl;
    return EXIT_FAILURE;
  }

  constexpr unsigned int Dimension = 2;
  using InputPixelType = unsigned char;
  using OutputPixelType = unsigned char;

  using InputImageType = itk::Image<InputPixelType, Dimension>;
  using OutputImageType = itk::Image<OutputPixelType, Dimension>;

  using ReaderType = itk::ImageFileReader<InputImageType>;
  using WriterType = itk::ImageFileWriter<OutputImageType>;

  auto reader = ReaderType::New();
  auto writer = WriterType::New();

  reader->SetFileName(argv[1]);
  writer->SetFileName(argv[2]);

  const double angleInDegrees = std::stod(argv[3]);

  using FilterType =
    itk::ResampleImageFilter<InputImageType, OutputImageType>;

  auto filter = FilterType::New();


  //  Software Guide : BeginLatex
  //
  //  The transform type is instantiated using the coordinate representation
  //  type and the space dimension. Then a transform object is constructed
  //  with the \code{New()} method and passed to a \doxygen{SmartPointer}.
  //
  //  \index{itk::AffineTransform!instantiation}
  //  \index{itk::AffineTransform!New()}
  //  \index{itk::AffineTransform!Pointer}
  //
  //  Software Guide : EndLatex

  // Software Guide : BeginCodeSnippet
  using TransformType = itk::AffineTransform<double, Dimension>;
  auto transform = TransformType::New();
  // Software Guide : EndCodeSnippet


  using InterpolatorType =
    itk::LinearInterpolateImageFunction<InputImageType, double>;
  auto interpolator = InterpolatorType::New();

  filter->SetInterpolator(interpolator);

  filter->SetDefaultPixelValue(100);


  //  Software Guide : BeginLatex
  //
  //  The parameters of the output image are taken from the input image.
  //
  //  Software Guide : EndLatex

  // Software Guide : BeginCodeSnippet
  reader->Update();

  const InputImageType * inputImage = reader->GetOutput();

  const InputImageType::SpacingType & spacing = inputImage->GetSpacing();
  const InputImageType::PointType &   origin = inputImage->GetOrigin();
  InputImageType::SizeType            size =
    inputImage->GetLargestPossibleRegion().GetSize();

  filter->SetOutputOrigin(origin);
  filter->SetOutputSpacing(spacing);
  filter->SetOutputDirection(inputImage->GetDirection());
  filter->SetSize(size);
  // Software Guide : EndCodeSnippet


  filter->SetInput(reader->GetOutput());
  writer->SetInput(filter->GetOutput());


  //  Software Guide : BeginLatex
  //
  //  Rotations are performed around the origin of physical coordinates---not
  //  the image origin nor the image center. Hence, the process of
  //  positioning the output image frame as it is shown in Figure
  //  \ref{fig:ResampleImageFilterOutput10} requires three steps.  First, the
  //  image origin must be moved to the origin of the coordinate system. This
  //  is done by applying a translation equal to the negative values of the
  //  image origin.
  //
  // \begin{figure}
  // \center
  // \includegraphics[width=0.44\textwidth]{BrainProtonDensitySliceBorder20}
  // \includegraphics[width=0.44\textwidth]{ResampleImageFilterOutput10}
  // \itkcaption[Effect of the Resample filter rotating an image]{Effect of
  // the resample filter rotating an image.}
  // \label{fig:ResampleImageFilterOutput10}
  // \end{figure}
  //
  //
  //  \index{itk::AffineTransform!Translate()}
  //
  //  Software Guide : EndLatex

  // Software Guide : BeginCodeSnippet
  TransformType::OutputVectorType translation1;

  const double imageCenterX = origin[0] + spacing[0] * size[0] / 2.0;
  const double imageCenterY = origin[1] + spacing[1] * size[1] / 2.0;

  translation1[0] = -imageCenterX;
  translation1[1] = -imageCenterY;

  transform->Translate(translation1);
  // Software Guide : EndCodeSnippet

  std::cout << "imageCenterX = " << imageCenterX << std::endl;
  std::cout << "imageCenterY = " << imageCenterY << std::endl;


  //  Software Guide : BeginLatex
  //
  //  In a second step, the rotation is specified using the method
  //  \code{Rotate2D()}.
  //
  //  \index{itk::AffineTransform!Rotate2D()}
  //
  //  Software Guide : EndLatex


  // Software Guide : BeginCodeSnippet
  const double degreesToRadians = std::atan(1.0) / 45.0;
  const double angle = angleInDegrees * degreesToRadians;
  transform->Rotate2D(-angle, false);
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //
  //  The third and final step requires translating the image origin back to
  //  its previous location. This is be done by applying a translation equal
  //  to the origin values.
  //
  //  \index{itk::AffineTransform!Translate()}
  //
  //  Software Guide : EndLatex

  // Software Guide : BeginCodeSnippet
  TransformType::OutputVectorType translation2;
  translation2[0] = imageCenterX;
  translation2[1] = imageCenterY;
  transform->Translate(translation2, false);
  filter->SetTransform(transform);
  // Software Guide : EndCodeSnippet


  //  Software Guide : BeginLatex
  //
  //  The output of the resampling filter is connected to a writer and the
  //  execution of the pipeline is triggered by a writer update.
  //
  //  Software Guide : EndLatex

  // Software Guide : BeginCodeSnippet
  try
  {
    writer->Update();
  }
  catch (const itk::ExceptionObject & excep)
  {
    std::cerr << "Exception caught !" << std::endl;
    std::cerr << excep << std::endl;
  }
  // Software Guide : EndCodeSnippet

  return EXIT_SUCCESS;
}
