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/*
* Copyright (C) 2005-2022 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.
*/
/* Example usage:
./PanTexExample Input/ROI_QB_MUL_1.png Output/PanTexOutput.tif Output/pretty_PanTexInput.png Output/pretty_PanTexOutput.png
*/
#include "itkMacro.h"
#include "otbImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "itkUnaryFunctorImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
// This example illustrates the use of the
// \doxygen{otb}{ScalarImageToPanTexTextureFilter}. This texture parameter was
// first introduced in \cite{PanTex} and is very useful for urban area
// detection.
// \relatedClasses
// \begin{itemize}
// \item \doxygen{otb}{ScalarImageToTexturesFilter}
// \item \doxygen{otb}{ScalarImageToAdvancedTexturesFilter}
// \end{itemize}
//
// The first step required to use this filter is to include its header file.
#include "otbScalarImageToPanTexTextureFilter.h"
int main(int argc, char* argv[])
{
// Parse command line parameters
if (argc != 5)
{
std::cerr << "Usage: " << argv[0] << " <inputImage> ";
std::cerr << " <outputImage> <inputRescaled> <outputRescaled> ";
std::cerr << std::endl;
return EXIT_FAILURE;
}
const char* infname = argv[1];
const char* outfname = argv[2];
const char* inprettyfname = argv[3];
const char* outprettyfname = argv[4];
using PixelType = double;
const int Dimension = 2;
using ImageType = otb::Image<PixelType, Dimension>;
// After defining the types for the pixels and the images used in the
// example, we define the type for the PanTex filter. It is
// templated by the input and output image types.
using PanTexTextureFilterType = otb::ScalarImageToPanTexTextureFilter<ImageType, ImageType>;
using ReaderType = otb::ImageFileReader<ImageType>;
using WriterType = otb::ImageFileWriter<ImageType>;
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
reader->SetFileName(infname);
writer->SetFileName(outfname);
// We can now instantiate the filter.
PanTexTextureFilterType::Pointer textureFilter = PanTexTextureFilterType::New();
// Then, we set the parameters of the filter.The radius of
// the neighborhood to compute the texture.
// The number of bins per axis for histogram generation (it is the
// size of the co-occurrence matrix). Moreover, we have to specify
// the Min/Max in the input image. In the example, image Min/Max is set
// by the user to 0 and 255. Alternatively you can use the class \doxygen{itk}{MinimumMaximumImageCalculator}
// to calculate these values.
PanTexTextureFilterType::SizeType sradius;
sradius.Fill(4);
textureFilter->SetNumberOfBinsPerAxis(8);
textureFilter->SetRadius(sradius);
textureFilter->SetInputImageMinimum(0);
textureFilter->SetInputImageMaximum(255);
// We can now plug the pipeline and trigger the execution by calling
// the \code{Update} method of the writer.
textureFilter->SetInput(reader->GetOutput());
writer->SetInput(textureFilter->GetOutput());
writer->Update();
// Figure~\ref{fig:PANTEXFILTER} shows the result of applying
// the PanTex computation.
// \begin{figure}
// \center
// \includegraphics[width=0.40\textwidth]{pretty_PanTexInput.eps}
// \includegraphics[width=0.40\textwidth]{pretty_PanTexOutput.eps}
// \itkcaption[PanTex Filter]{Result of applying the
// \doxygen{otb}{ScalarImageToPanTexTextureFilter} to an image. From left to right:
// original image, PanTex feature.}
// \label{fig:PANTEXFILTER}
// \end{figure}
// Pretty image creation for printing
using OutputPrettyImageType = otb::Image<unsigned char, Dimension>;
using WriterPrettyOutputType = otb::ImageFileWriter<OutputPrettyImageType>;
using RescalerOutputType = itk::RescaleIntensityImageFilter<ImageType, OutputPrettyImageType>;
RescalerOutputType::Pointer outputRescaler = RescalerOutputType::New();
WriterPrettyOutputType::Pointer prettyOutputWriter = WriterPrettyOutputType::New();
outputRescaler->SetInput(textureFilter->GetOutput());
outputRescaler->SetOutputMinimum(0);
outputRescaler->SetOutputMaximum(255);
prettyOutputWriter->SetFileName(outprettyfname);
prettyOutputWriter->SetInput(outputRescaler->GetOutput());
prettyOutputWriter->Update();
outputRescaler->SetInput(reader->GetOutput());
outputRescaler->SetOutputMinimum(0);
outputRescaler->SetOutputMaximum(255);
prettyOutputWriter->SetFileName(inprettyfname);
prettyOutputWriter->SetInput(outputRescaler->GetOutput());
prettyOutputWriter->Update();
return EXIT_SUCCESS;
}
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