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/*
* 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.
*/
#include "itkMacro.h"
#include "otbStreamingStatisticsImageFilter.h"
#include "itkStatisticsImageFilter.h"
#include "otbImageFileReader.h"
#include "otbImage.h"
#include <fstream>
#include "otbStreamingTraits.h"
int otbStreamingStatisticsImageFilter(int argc, char * argv[])
{
const char * infname = argv[1];
const char * outfname = argv[2];
float userIgnoredValue = 0.;
if (argc>3)
{
userIgnoredValue = atof(argv[3]);
}
const unsigned int Dimension = 2;
typedef double PixelType;
typedef otb::Image<PixelType, Dimension> ImageType;
typedef otb::ImageFileReader<ImageType> ReaderType;
typedef otb::StreamingStatisticsImageFilter<ImageType> StreamingStatisticsImageFilterType;
//typedef itk::StatisticsImageFilter<ImageType> StreamingStatisticsImageFilterType;
// Instantiating object
StreamingStatisticsImageFilterType::Pointer filter = StreamingStatisticsImageFilterType::New();
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(infname);
filter->GetStreamer()->SetNumberOfLinesStrippedStreaming( 10 );
filter->SetInput(reader->GetOutput());
if (argc>3)
{
filter->SetIgnoreUserDefinedValue(true);
filter->SetUserIgnoredValue(userIgnoredValue);
}
filter->Update();
std::ofstream file;
file.open(outfname);
file << "Minimum: " << filter->GetMinimum() << std::endl;
file << "Maximum: " << filter->GetMaximum() << std::endl;
file << std::fixed;
file.precision(5);
file << "Sum: " << filter->GetSum() << std::endl;
file << "Mean: " << filter->GetMean() << std::endl;
file << "Sigma: " << filter->GetSigma() << std::endl;
file << "Variance: " << filter->GetVariance() << std::endl;
file.close();
return EXIT_SUCCESS;
}
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