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/*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef otbConvolutionImageFilter_txx
#define otbConvolutionImageFilter_txx
#include "otbConvolutionImageFilter.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
#include "itkConstantBoundaryCondition.h"
#include "otbMacro.h"
namespace otb
{
template <class TInputImage, class TOutputImage, class TBoundaryCondition, class TFilterPrecision>
ConvolutionImageFilter<TInputImage, TOutputImage, TBoundaryCondition, TFilterPrecision>
::ConvolutionImageFilter()
{
m_Radius.Fill(1);
m_Filter.SetSize(3 * 3);
m_Filter.Fill(1);
m_NormalizeFilter = false;
}
template <class TInputImage, class TOutputImage, class TBoundaryCondition, class TFilterPrecision>
void
ConvolutionImageFilter<TInputImage, TOutputImage, TBoundaryCondition, TFilterPrecision>
::GenerateInputRequestedRegion() throw (itk::InvalidRequestedRegionError)
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// get pointers to the input and output
typename Superclass::InputImagePointer inputPtr =
const_cast<TInputImage *>(this->GetInput());
typename Superclass::OutputImagePointer outputPtr = this->GetOutput();
if (!inputPtr || !outputPtr)
{
return;
}
// get a copy of the input requested region (should equal the output
// requested region)
typename TInputImage::RegionType inputRequestedRegion;
inputRequestedRegion = inputPtr->GetRequestedRegion();
// pad the input requested region by the operator radius
inputRequestedRegion.PadByRadius(m_Radius);
otbMsgDevMacro(<< "Padding by " << m_Radius);
otbMsgDevMacro(<< "Region is now " << inputRequestedRegion.GetIndex() << ", " << inputRequestedRegion.GetSize());
// 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__);
e.SetLocation(ITK_LOCATION);
e.SetDescription("Requested region is (at least partially) outside the largest possible region.");
e.SetDataObject(inputPtr);
throw e;
}
}
template<class TInputImage, class TOutputImage, class TBoundaryCondition, class TFilterPrecision>
void
ConvolutionImageFilter<TInputImage, TOutputImage, TBoundaryCondition, TFilterPrecision>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
itk::ThreadIdType threadId)
{
unsigned int i;
// Allocate output
typename OutputImageType::Pointer output = this->GetOutput();
typename InputImageType::ConstPointer input = this->GetInput();
// support progress methods/callbacks
itk::ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
InputRealType sum = itk::NumericTraits<InputRealType>::Zero;
InputRealType norm = itk::NumericTraits<InputRealType>::Zero;
InputImageRegionType inputRegionForThread;
this->CallCopyOutputRegionToInputRegion(inputRegionForThread, outputRegionForThread);
itk::ConstNeighborhoodIterator<InputImageType, BoundaryConditionType> inputIt(m_Radius, input, inputRegionForThread);
itk::ImageRegionIterator<OutputImageType> outputIt(output, outputRegionForThread);
inputIt.GoToBegin();
unsigned int neighborhoodSize = inputIt.Size();
// Compute the norm of the filter
if (m_NormalizeFilter)
{
norm = itk::NumericTraits<InputRealType>::Zero;
for (i = 0; i < neighborhoodSize; ++i)
{
norm += static_cast<InputRealType>(vcl_abs(m_Filter(i)));
}
}
while (!inputIt.IsAtEnd())
{
sum = itk::NumericTraits<InputRealType>::Zero;
for (i = 0; i < neighborhoodSize; ++i)
{
sum += static_cast<InputRealType>(inputIt.GetPixel(i) * m_Filter(i));
}
// get the mean value
if (m_NormalizeFilter)
{
outputIt.Set(static_cast<OutputPixelType>(sum / double(norm)));
}
else
{
outputIt.Set(static_cast<OutputPixelType>(sum));
}
++inputIt;
++outputIt;
progress.CompletedPixel();
}
}
/**
* Standard "PrintSelf" method
*/
template <class TInputImage, class TOutput, class TBoundaryCondition, class TFilterPrecision>
void
ConvolutionImageFilter<TInputImage, TOutput, TBoundaryCondition, TFilterPrecision>
::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Radius: " << m_Radius << std::endl;
}
} // end namespace otb
#endif
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