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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 "itkHistogram.h"
#include "otbHistogramStatisticsFunction.h"
int otbHistogramStatisticsFunction(int itkNotUsed(argc), char * argv[])
{
unsigned int NbOfBins((unsigned int) ::atoi(argv[1]));
typedef float MeasurementType;
typedef itk::Statistics::Histogram<MeasurementType, itk::Statistics::DenseFrequencyContainer2> HistogramType;
HistogramType::Pointer histogram = HistogramType::New();
// initialize histogram
HistogramType::SizeType size(1);
size.Fill(NbOfBins);
HistogramType::MeasurementVectorType lowerBound(1);
HistogramType::MeasurementVectorType upperBound(1);
lowerBound[0] = 0.0;
upperBound[0] = NbOfBins;
histogram->SetMeasurementVectorSize(1);
histogram->Initialize(size, lowerBound, upperBound);
// create histogram with same value for each frequency
for (HistogramType::Iterator iter = histogram->Begin(); iter != histogram->End(); ++iter)
{
iter.SetFrequency(1.0);
}
typedef otb::HistogramStatisticsFunction<HistogramType, MeasurementType> HistogramStatisticsFunctionType;
HistogramStatisticsFunctionType::Pointer HistogramStatisticsFunction = HistogramStatisticsFunctionType::New();
HistogramStatisticsFunction->SetInputHistogram(histogram.GetPointer());
MeasurementType Entropy;
MeasurementType Mean;
MeasurementType Covariance;
std::cout << "Update OK : " << std::endl;
std::cout << "Entropy 1 : " << HistogramStatisticsFunction->GetEntropy()[0] << std::endl;
Entropy = HistogramStatisticsFunction->GetEntropy()[0];
std::cout << "Entropy 1 : " << Entropy << std::endl;
if (vcl_abs(Entropy - vcl_log(static_cast<double>(NbOfBins))) > 0.00001)
{
std::cout << "Error in entropy estimation" << std::endl;
return EXIT_FAILURE;
}
Mean = HistogramStatisticsFunction->GetMean()[0];
std::cout << "Mean 1 : " << Mean << std::endl;
if (Mean != NbOfBins / 2.)
{
std::cout << "Error in mean estimation" << std::endl;
return EXIT_FAILURE;
}
Covariance = HistogramStatisticsFunction->GetCovariance()[0];
std::cout << "Covariance 1 : " << Covariance << std::endl;
if (Covariance != 0)
{
std::cout << "Error in covariance estimation" << std::endl;
return EXIT_FAILURE;
}
// create histogram just all value equal to zero except the first one
for (HistogramType::Iterator iter = histogram->Begin(); iter != histogram->End(); ++iter)
{
if (iter == histogram->Begin())
{
iter.SetFrequency(1.0);
}
else
{
iter.SetFrequency(0.0);
}
}
HistogramStatisticsFunction->Compute();
Entropy = HistogramStatisticsFunction->GetEntropy()[0];
std::cout << "Entropy 2 : " << Entropy << std::endl;
if (Entropy != 0.0)
{
std::cout << "Error in entropy estimation" << std::endl;
return EXIT_FAILURE;
}
Mean = HistogramStatisticsFunction->GetMean()[0];
std::cout << "Mean 2 : " << Mean << std::endl;
if (Mean != 0.5)
{
std::cout << "Error in mean estimation" << std::endl;
return EXIT_FAILURE;
}
Covariance = HistogramStatisticsFunction->GetCovariance()[0];
std::cout << "Covariance 2 : " << Covariance << std::endl;
if (Covariance != 0)
{
std::cout << "Error in covariance estimation" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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