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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.
*/
#ifndef otbBinaryImageToDensityImageFilter_txx
#define otbBinaryImageToDensityImageFilter_txx
#include "otbBinaryImageToDensityImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkProgressReporter.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
#include "itkNeighborhoodAlgorithm.h"
#include "otbMacro.h"
namespace otb
{
/** Constructor */
template <class TInputImage, class TOutputImage, class TCountFunction>
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::BinaryImageToDensityImageFilter()
{
m_NeighborhoodRadius.Fill(1);
m_CountFunction = CountFunctionType::New();
}
/** Destructor */
template <class TInputImage, class TOutputImage, class TCountFunction>
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::~BinaryImageToDensityImageFilter()
{}
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// get pointers to the input and output
InputImagePointerType inputPtr = const_cast<TInputImage *>(this->GetInput());
OutputImagePointerType outputPtr = this->GetOutput();
if (!inputPtr || !outputPtr)
{
return;
}
// get a copy of the input requested region (should equal the output
// requested region)
InputImageRegionType inputRequestedRegion = inputPtr->GetRequestedRegion();
// pad the input requested region by the operator radius
inputRequestedRegion.PadByRadius(m_NeighborhoodRadius);
// crop the input requested region at the input's largest possible region
if (inputRequestedRegion.Crop(inputPtr->GetLargestPossibleRegion()))
{
inputPtr->SetRequestedRegion(inputRequestedRegion);
return;
}
else
{
// Couldn't crop the region (requested region is outside the largest
// possible region). Throw an exception.
// store what we tried to request (prior to trying to crop)
inputPtr->SetRequestedRegion(inputRequestedRegion);
// build an exception
itk::InvalidRequestedRegionError e(__FILE__, __LINE__);
std::ostringstream msg;
msg << this->GetNameOfClass()
<< "::GenerateInputRequestedRegion()";
e.SetLocation(msg.str().c_str());
e.SetDescription("Requested region is (at least partially) outside the largest possible region.");
e.SetDataObject(inputPtr);
throw e;
}
}
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::BeforeThreadedGenerateData()
{
Superclass::BeforeThreadedGenerateData();
m_CountFunction->SetInputImage(this->GetInput());
m_CountFunction->SetNeighborhoodRadius(m_NeighborhoodRadius);
}
/** Main computation method */
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::ThreadedGenerateData(const InputImageRegionType& outputRegionForThread, itk::ThreadIdType threadId)
{
InputImagePointerType inputPtr = const_cast<InputImageType *> (this->GetInput());
OutputImagePointerType outputPtr = this->GetOutput();
itk::ZeroFluxNeumannBoundaryCondition<TInputImage> nbc;
RadiusType r;
r[0] = m_NeighborhoodRadius[0];
r[1] = m_NeighborhoodRadius[1];
NeighborhoodIteratorType it;
typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>::FaceListType faceList;
typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage> bC;
faceList = bC(inputPtr, outputRegionForThread, r);
typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>::FaceListType::iterator fit;
itk::ImageRegionIterator<OutputImageType> itOut(outputPtr, outputRegionForThread);
itk::ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
typename InputImageType::IndexType index;
for (fit = faceList.begin(); fit != faceList.end(); ++fit)
{
it = itk::ConstNeighborhoodIterator<TInputImage>(r, inputPtr, *fit);
itOut = itk::ImageRegionIterator<TOutputImage>(outputPtr, *fit);
it.OverrideBoundaryCondition(&nbc);
it.GoToBegin();
while (!itOut.IsAtEnd())
{
index = it.GetIndex();
if (outputRegionForThread.IsInside(index))
{
itOut.Set(m_CountFunction->EvaluateAtIndex(index));
}
++itOut;
++it;
progress.CompletedPixel(); // potential exception thrown here
}
}
}
/** PrintSelf method */
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Neighborhood Radius : " << m_NeighborhoodRadius << std::endl;
}
} // End namespace otb
#endif
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