text: /*
   * Copyright (C) 2005-2019 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.
   */
  
  
  #include "otbVectorImage.h"
  #include "otbImageFileReader.h"
  #include "otbImageFileWriter.h"
  #include "otbCommandProgressUpdate.h"
  
  #include "otbMNFImageFilter.h"
  
  #include "otbLocalActivityVectorImageFilter.h"
  
  int otbMNFImageFilterTest(int, char* argv[])
  {
    /*
    usage : otbMNFImageFilterTest input output inv norm nbcomponent=1
    */
    unsigned int radiusX = 1;
    unsigned int radiusY = 1;
  
    bool want_inv = true;
    if (std::string(argv[3]).compare("none") == 0)
    {
      want_inv = false;
    }
  
    bool normalization = false;
    if (std::string(argv[4]).compare("true") == 0)
      normalization = true;
  
    int nbComponents = std::stoi(argv[5]);
  
    // Main type definition
    const unsigned int Dimension = 2;
    typedef double     PixelType;
    typedef otb::VectorImage<PixelType, Dimension> ImageType;
  
    // Reading input images
    typedef otb::ImageFileReader<ImageType> ReaderType;
    ReaderType::Pointer                     reader = ReaderType::New();
    reader->SetFileName(argv[1]);
  
    // Noise filtering
    typedef otb::LocalActivityVectorImageFilter<ImageType, ImageType> NoiseFilterType;
    NoiseFilterType::RadiusType radius = {{radiusX, radiusY}};
  
    // Image filtering
    typedef otb::MNFImageFilter<ImageType, ImageType, NoiseFilterType, otb::Transform::FORWARD> FilterType;
    FilterType::Pointer filter = FilterType::New();
    filter->SetInput(reader->GetOutput());
    filter->SetNumberOfPrincipalComponentsRequired(nbComponents);
    filter->SetUseNormalization(normalization);
    filter->GetNoiseImageFilter()->SetRadius(radius);
  
    typedef otb::CommandProgressUpdate<FilterType> CommandType;
    CommandType::Pointer                           observer = CommandType::New();
    filter->AddObserver(itk::ProgressEvent(), observer);
  
    // Writing
    typedef otb::ImageFileWriter<ImageType> ImageWriterType;
    ImageWriterType::Pointer                writer = ImageWriterType::New();
    writer->SetFileName(argv[2]);
    writer->SetInput(filter->GetOutput());
    writer->Update();
  
  
    if (want_inv)
    {
      typedef otb::MNFImageFilter<ImageType, ImageType, NoiseFilterType, otb::Transform::INVERSE> InvFilterType;
      InvFilterType::Pointer invFilter = InvFilterType::New();
      invFilter->SetInput(filter->GetOutput());
      invFilter->SetMeanValues(filter->GetMeanValues());
      if (normalization)
        invFilter->SetStdDevValues(filter->GetStdDevValues());
      invFilter->SetTransformationMatrix(filter->GetTransformationMatrix());
  
      typedef otb::CommandProgressUpdate<InvFilterType> CommandType2;
      CommandType2::Pointer                             invObserver = CommandType2::New();
      invFilter->AddObserver(itk::ProgressEvent(), invObserver);
  
      ImageWriterType::Pointer invWriter = ImageWriterType::New();
      invWriter->SetFileName(argv[3]);
      invWriter->SetInput(invFilter->GetOutput());
      invWriter->Update();
    }
  
    return EXIT_SUCCESS;
  }
  