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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.
*/
/* Example usage:
./MeanShiftSegmentationFilterExample Input/ROI_QB_MUL_1.png \
Output/MSLabeledOutput.tif \
Output/MSClusteredOutput.tif \
Output/MSLabeledOutput-pretty.png \
Output/MSClusteredOutput-pretty.png \
16 \
16 \
100 \
100 \
0.1
*/
#include "otbVectorImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "otbImageFileWriter.h"
#include "otbPrintableImageFilter.h"
#include "itkScalarToRGBPixelFunctor.h"
#include "itkUnaryFunctorImageFilter.h"
#include "otbMeanShiftSegmentationFilter.h"
int main(int argc, char* argv[])
{
if (argc != 11)
{
std::cerr << "Usage: " << argv[0] << " infname labeledfname clusteredfname labeledpretty clusteredpretty "
<< "spatialRadius rangeRadius minRegionSize maxiter thres" << std::endl;
return EXIT_FAILURE;
}
const char* infname = argv[1];
const char* labeledfname = argv[2];
const char* clusteredfname = argv[3];
const char* labeledpretty = argv[4];
const char* clusteredpretty = argv[5];
const unsigned int spatialRadius = atoi(argv[6]);
const double rangeRadius = atof(argv[7]);
const unsigned int minRegionSize = atoi(argv[8]);
const unsigned int maxiter = atoi(argv[9]);
const double thres = atof(argv[10]);
const unsigned int Dimension = 2;
using PixelType = float;
using LabelPixelType = unsigned int;
using ColorPixelType = itk::RGBPixel<unsigned char>;
using ImageType = otb::VectorImage<PixelType, Dimension>;
using LabelImageType = otb::Image<LabelPixelType, Dimension>;
using RGBImageType = otb::Image<ColorPixelType, Dimension>;
using ReaderType = otb::ImageFileReader<ImageType>;
using WriterType = otb::ImageFileWriter<ImageType>;
using LabelWriterType = otb::ImageFileWriter<LabelImageType>;
using FilterType = otb::MeanShiftSegmentationFilter<ImageType, LabelImageType, ImageType>;
// We instantiate the filter, the reader, and 2 writers (for the
// labeled and clustered images).
FilterType::Pointer filter = FilterType::New();
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer1 = WriterType::New();
LabelWriterType::Pointer writer2 = LabelWriterType::New();
// We set the file names for the reader and the writers:
reader->SetFileName(infname);
writer1->SetFileName(clusteredfname);
writer2->SetFileName(labeledfname);
// We can now set the parameters for the filter. There are 3 main
// parameters: the spatial radius used for defining the neighborhood,
// the range radius used for defining the interval in the color space
// and the minimum size for the regions to be kept after clustering.
filter->SetSpatialBandwidth(spatialRadius);
filter->SetRangeBandwidth(rangeRadius);
filter->SetMinRegionSize(minRegionSize);
// Two another parameters can be set: the maximum iteration number, which
// defines maximum number of iteration until convergence. Algorithm
// iterative scheme will stop if convergence hasn't been reached after the
// maximum number of iterations. Threshold parameter defines mean-shift
// vector convergence value. Algorithm iterative scheme will stop if
// mean-shift vector is below this threshold or if iteration number reached
// maximum number of iterations.
filter->SetMaxIterationNumber(maxiter);
filter->SetThreshold(thres);
// We can now plug the pipeline and run it.
filter->SetInput(reader->GetOutput());
writer1->SetInput(filter->GetClusteredOutput());
writer2->SetInput(filter->GetLabelOutput());
writer1->Update();
writer2->Update();
using PrintableFilterType = otb::PrintableImageFilter<ImageType>;
PrintableFilterType::Pointer printableImageFilter = PrintableFilterType::New();
printableImageFilter->SetChannel(1);
printableImageFilter->SetChannel(2);
printableImageFilter->SetChannel(3);
using OutputImageType = PrintableFilterType::OutputImageType;
using PrettyWriterType = otb::ImageFileWriter<OutputImageType>;
PrettyWriterType::Pointer prettyWriter = PrettyWriterType::New();
printableImageFilter->SetInput(filter->GetClusteredOutput());
prettyWriter->SetFileName(clusteredpretty);
prettyWriter->SetInput(printableImageFilter->GetOutput());
prettyWriter->Update();
using LabelRGBWriterType = otb::ImageFileWriter<RGBImageType>;
LabelRGBWriterType::Pointer labelRGBWriter = LabelRGBWriterType::New();
// Label to RGB image
using FunctorType = itk::Functor::ScalarToRGBPixelFunctor<LabelPixelType>;
using ColorLabelFilterType = itk::UnaryFunctorImageFilter<LabelImageType, RGBImageType, FunctorType>;
ColorLabelFilterType::Pointer labelToRGB = ColorLabelFilterType::New();
labelToRGB->SetInput(filter->GetLabelOutput());
labelRGBWriter->SetFileName(labeledpretty);
labelRGBWriter->SetInput(labelToRGB->GetOutput());
labelRGBWriter->Update();
}
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