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/*
* Copyright (C) 2005-2020 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;
}
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