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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMeanImageFilter.txx,v $
Language: C++
Date: $Date: 2006-01-11 19:43:31 $
Version: $Revision: 1.14 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm 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 _itkMeanImageFilter_txx
#define _itkMeanImageFilter_txx
#include "itkMeanImageFilter.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
namespace itk
{
template <class TInputImage, class TOutputImage>
MeanImageFilter<TInputImage, TOutputImage>
::MeanImageFilter()
{
m_Radius.Fill(1);
}
template <class TInputImage, class TOutputImage>
void
MeanImageFilter<TInputImage, TOutputImage>
::GenerateInputRequestedRegion() throw (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 );
// 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
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>
void
MeanImageFilter< TInputImage, TOutputImage>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
int threadId)
{
unsigned int i;
ZeroFluxNeumannBoundaryCondition<InputImageType> nbc;
ConstNeighborhoodIterator<InputImageType> bit;
ImageRegionIterator<OutputImageType> it;
// Allocate output
typename OutputImageType::Pointer output = this->GetOutput();
typename InputImageType::ConstPointer input = this->GetInput();
// Find the data-set boundary "faces"
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType faceList;
NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType> bC;
faceList = bC(input, outputRegionForThread, m_Radius);
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType::iterator fit;
// support progress methods/callbacks
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
InputRealType sum;
// Process each of the boundary faces. These are N-d regions which border
// the edge of the buffer.
for (fit=faceList.begin(); fit != faceList.end(); ++fit)
{
bit = ConstNeighborhoodIterator<InputImageType>(m_Radius,
input, *fit);
unsigned int neighborhoodSize = bit.Size();
it = ImageRegionIterator<OutputImageType>(output, *fit);
bit.OverrideBoundaryCondition(&nbc);
bit.GoToBegin();
while ( ! bit.IsAtEnd() )
{
sum = NumericTraits<InputRealType>::Zero;
for (i = 0; i < neighborhoodSize; ++i)
{
sum += static_cast<InputRealType>( bit.GetPixel(i) );
}
// get the mean value
it.Set( static_cast<OutputPixelType>(sum / double(neighborhoodSize)) );
++bit;
++it;
progress.CompletedPixel();
}
}
}
/**
* Standard "PrintSelf" method
*/
template <class TInputImage, class TOutput>
void
MeanImageFilter<TInputImage, TOutput>
::PrintSelf(
std::ostream& os,
Indent indent) const
{
Superclass::PrintSelf( os, indent );
os << indent << "Radius: " << m_Radius << std::endl;
}
} // end namespace itk
#endif
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