/*
 * Copyright (C) 2005-2017 Centre National d'Etudes Spatiales (CNES)
 *
 * This file is part of Orfeo Toolbox
 *
 *     https://www.orfeo-toolbox.org/
 *
 * 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
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * 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: {ADS40RoiSmall.png}
//    OUTPUTS: {TextureOutput.tif}, {pretty_TextureOutput.png}
//    2 1 1
//  Software Guide : EndCommandLineArgs

#include "itkMacro.h"
#include "otbImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"

// Pretty RGB output
#include "otbVectorImage.h"
#include "otbImageToVectorImageCastFilter.h"
#include "otbVectorRescaleIntensityImageFilter.h"

// Software Guide : BeginLatex
//
// The first step required to use the filter is to include the header file.
//
// Software Guide : EndLatex

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

int main(int argc, char * argv[])
{
  // Parse command line parameters
  if (argc != 7)
    {
    std::cerr << "Usage: " << argv[0] << " <inputImage> ";
    std::cerr << " <outputImage> <outputRescaled> ";
    std::cerr << " <radius> <xOffset> <yOffset> ";
    std::cerr << std::endl;
    return EXIT_FAILURE;
    }

  const char* infname   = argv[1];
  const char* outfname  = argv[2];
  const char* outprettyfname  = argv[3];

  const unsigned int radius  =  static_cast<unsigned int>(atoi(argv[4]));
  const unsigned int xOffset =  static_cast<unsigned int>(atoi(argv[5]));
  const unsigned int yOffset =  static_cast<unsigned int>(atoi(argv[6]));

  typedef double PixelType;
  const int Dimension = 2;
  typedef otb::Image<PixelType, Dimension> ImageType;

  // Software Guide : BeginLatex
  //
  // After defining the types for the pixels and the images used in the
  // example, we define the types for the textures filter. It is
  // templated by the input and output image types.
  //
  // Software Guide : EndLatex

  // Software Guide : BeginCodeSnippet
  typedef otb::ScalarImageToTexturesFilter
  <ImageType, ImageType> TexturesFilterType;
  // Software Guide : EndCodeSnippet

  typedef otb::ImageFileReader<ImageType> ReaderType;
  typedef otb::ImageFileWriter<ImageType> WriterType;

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

  reader->SetFileName(infname);
  writer->SetFileName(outfname);

  // Software Guide : BeginLatex
  //
  // We can now instantiate the filters.
  //
  // Software Guide : EndLatex

  // Software Guide : BeginCodeSnippet
  TexturesFilterType::Pointer texturesFilter
    = TexturesFilterType::New();
  // Software Guide : EndCodeSnippet

  // Software Guide : BeginLatex
  //
  // The texture filters takes at least 2 parameters: the radius of the
  // neighborhood on which the texture will be computed and the offset
  // used. Texture features are bivariate statistics, that is, they are
  // computed using pair of pixels. Each texture feature is defined for
  // an offset defining the pixel pair.
  //
  // The radius parameter can be passed to the filter as a scalar
  // parameter if the neighborhood is square, or as \code{SizeType} in
  // any case.
  //
  // The offset is always an array of N values, where N is the number of
  // dimensions of the image.
  //
  // Software Guide : EndLatex
  // Software Guide : BeginCodeSnippet
  typedef ImageType::SizeType SizeType;
  SizeType sradius;
  sradius.Fill(radius);

  texturesFilter->SetRadius(sradius);

  typedef ImageType::OffsetType OffsetType;
  OffsetType offset;
  offset[0] =  xOffset;
  offset[1] =  yOffset;

  texturesFilter->SetOffset(offset);
  // Software Guide : EndCodeSnippet

  // Software Guide : BeginLatex
  //
  // The textures filter will automatically derive the optimal
  // bin size for co-occurences histogram, but they need to know
  // the input image minimum and maximum. These values can be set
  // like this :
  // Software Guide : EndLatex
  // Software Guide : BeginCodeSnippet
  texturesFilter->SetInputImageMinimum(0);
  texturesFilter->SetInputImageMaximum(255);
  // Software Guide : EndCodeSnippet

  // Software Guide : BeginLatex
  //
  // To tune co-occurence histogram resolution, you can use
  // the SetNumberOfBinsPerAxis() method.
  //
  // Software Guide : EndLatex

  // Software Guide : BeginLatex
  //
  // We can now plug the pipeline.
  //
  // Software Guide : EndLatex
  // Software Guide : BeginCodeSnippet
  texturesFilter->SetInput(reader->GetOutput());

  writer->SetInput(texturesFilter->GetInertiaOutput());
  writer->Update();
  // Software Guide : EndCodeSnippet

  //  Software Guide : BeginLatex
  // Figure~\ref{fig:TEXTUREFUNCTOR} shows the result of applying
  // the contrast texture computation.
  // \begin{figure}
  // \center
  // \includegraphics[width=0.40\textwidth]{ADS40RoiSmall.eps}
  // \includegraphics[width=0.40\textwidth]{pretty_TextureOutput.eps}
  // \itkcaption[Results of applying Haralick contrast]{Result of applying the
  // \doxygen{otb}{ScalarImageToTexturesFilter} to an image. From left to right :
  // original image, contrast.}
  // \label{fig:TEXTUREFUNCTOR}
  // \end{figure}
  //
  //  Software Guide : EndLatex

  // Pretty image creation for printing

  typedef otb::VectorImage<double, 2>        VectorImageType;
  typedef otb::VectorImage<unsigned char, 2> PrettyVectorImageType;
  typedef otb::ImageFileWriter<PrettyVectorImageType>
  WriterPrettyOutputType;

  typedef otb::ImageToVectorImageCastFilter<ImageType, VectorImageType> VectorCastFilterType;
  typedef otb::VectorRescaleIntensityImageFilter<VectorImageType, PrettyVectorImageType>
  RescalerOutputType;

  RescalerOutputType::Pointer     outputRescaler     = RescalerOutputType::New();
  WriterPrettyOutputType::Pointer prettyOutputWriter =
    WriterPrettyOutputType::New();
  VectorCastFilterType::Pointer vectorCastFilter = VectorCastFilterType::New();
  vectorCastFilter->SetInput(texturesFilter->GetInertiaOutput());
  outputRescaler->SetInput(vectorCastFilter->GetOutput());

  PrettyVectorImageType::PixelType min(1), max(1);
  min.Fill(0);
  max.Fill(255);

  outputRescaler->SetOutputMinimum(min);
  outputRescaler->SetOutputMaximum(max);

  prettyOutputWriter->SetFileName(outprettyfname);
  prettyOutputWriter->SetInput(outputRescaler->GetOutput());

  prettyOutputWriter->Update();
  return EXIT_SUCCESS;
}