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/*
* Copyright (C) 2005-2020 Centre National d'Etudes Spatiales (CNES)
* Copyright (C) 2007-2012 Institut Mines Telecom / Telecom Bretagne
*
* 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.
*/
#ifndef otbBoxAndWhiskerImageFilter_hxx
#define otbBoxAndWhiskerImageFilter_hxx
#include <vector>
#include <algorithm>
#include "itkConstNeighborhoodIterator.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkProgressReporter.h"
#include "otbBoxAndWhiskerImageFilter.h"
#include "otbEuclideanDistanceMetricWithMissingValue.h"
namespace otb
{
template <class TInputImage>
BoxAndWhiskerImageFilter<TInputImage>::BoxAndWhiskerImageFilter()
{
this->SetNumberOfRequiredInputs(1);
this->SetNumberOfRequiredOutputs(1);
this->InPlaceOn();
m_Beta = 1.5;
m_Radius.Fill(1);
m_NumberFound = 0L;
}
template <class TInputImage>
void BoxAndWhiskerImageFilter<TInputImage>::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, itk::ThreadIdType threadId)
{
const TInputImage* inputPtr = this->GetInput();
OutputImageType* outputPtr = this->GetOutput();
// data-set boundary faces
typedef typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType> ImageBoundaryFacesCalculatorType;
typename ImageBoundaryFacesCalculatorType::FaceListType faceList;
ImageBoundaryFacesCalculatorType boundaryCalculator;
faceList = boundaryCalculator(inputPtr, outputRegionForThread, this->GetRadius());
// face iterator
typename ImageBoundaryFacesCalculatorType::FaceListType::iterator faceIterator;
// local iterators
itk::ImageRegionConstIterator<InputImageType> inputIter;
itk::ImageRegionIterator<OutputImageType> outputIter;
// support progress methods/callbacks
itk::ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
/**
* Process each of the boundary faces.
* These are N-d regions which border the edge of the buffer.
*/
for (faceIterator = faceList.begin(); faceIterator != faceList.end(); ++faceIterator)
{
inputIter = itk::ImageRegionConstIterator<InputImageType>(inputPtr, *faceIterator);
inputIter.GoToBegin();
outputIter = itk::ImageRegionIterator<OutputImageType>(outputPtr, *faceIterator);
outputIter.GoToBegin();
while (!outputIter.IsAtEnd())
{
outputIter.Set(this->PerformBoxAndWhiskerDetection(inputIter.Get()));
++inputIter;
++outputIter;
progress.CompletedPixel();
}
}
}
template <class TInputImage>
typename BoxAndWhiskerImageFilter<TInputImage>::PixelType BoxAndWhiskerImageFilter<TInputImage>::PerformBoxAndWhiskerDetection(const PixelType& pixel)
{
typedef std::vector<ValueType> VectorType;
typedef otb::Statistics::EuclideanDistanceMetricWithMissingValue<PixelType> OutlierType;
unsigned int i;
const unsigned int vectorSize = pixel.Size();
const unsigned int medianPosition = vectorSize / 2;
const unsigned int firstQuartilePosition = vectorSize / 4;
const unsigned int thirdQuartilePosition = (3 * vectorSize) / 4;
VectorType data(vectorSize);
for (i = 0; i < vectorSize; ++i)
data[i] = pixel[i];
std::sort(data.begin(), data.end());
double box = m_Beta * static_cast<double>(data[thirdQuartilePosition] - data[firstQuartilePosition]);
double median = ::fabs(static_cast<double>(data[medianPosition]));
PixelType outputPixel(pixel);
for (i = 0; i < vectorSize; ++i)
{
if (::fabs(static_cast<double>(outputPixel[i]) - box) > median)
{
OutlierType::SetToMissingValue(outputPixel[i]);
m_NumberFound++;
}
}
return outputPixel;
}
template <class TInputImage>
void BoxAndWhiskerImageFilter<TInputImage>::GenerateOutputInformation()
{
Superclass::GenerateOutputInformation();
this->GetOutput()->SetNumberOfComponentsPerPixel(this->GetInput()->GetNumberOfComponentsPerPixel());
this->GetOutput()->CopyInformation(this->GetInput());
}
template <class TInputImage>
void BoxAndWhiskerImageFilter<TInputImage>::AllocateOutputs()
{
OutputImageType* output = this->GetOutput();
output->SetNumberOfComponentsPerPixel(this->GetInput()->GetNumberOfComponentsPerPixel());
output->SetBufferedRegion(output->GetRequestedRegion());
output->Allocate();
}
} // end of namespace otb
#endif
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