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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkNeighborhoodOperatorImageFilter.txx,v $
Language: C++
Date: $Date: 2006-01-11 19:43:32 $
Version: $Revision: 1.39 $
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 _itkNeighborhoodOperatorImageFilter_txx
#define _itkNeighborhoodOperatorImageFilter_txx
#include "itkNeighborhoodAlgorithm.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkProgressReporter.h"
namespace itk
{
template <class TInputImage, class TOutputImage, class TOperatorValueType>
void
NeighborhoodOperatorImageFilter<TInputImage,TOutputImage, TOperatorValueType>
::GenerateInputRequestedRegion() throw (InvalidRequestedRegionError)
{
// call the superclass' implementation of this method. this should
// copy the output requested region to the input requested region
Superclass::GenerateInputRequestedRegion();
// get pointers to the input and output
InputImagePointer inputPtr =
const_cast< TInputImage * >( this->GetInput() );
if ( !inputPtr )
{
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_Operator.GetRadius() );
// 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, class TOperatorValueType>
void
NeighborhoodOperatorImageFilter<TInputImage, TOutputImage, TOperatorValueType>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
int threadId)
{
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>
BFC;
typedef typename BFC::FaceListType FaceListType;
NeighborhoodInnerProduct<InputImageType, OperatorValueType> smartInnerProduct;
BFC faceCalculator;
FaceListType faceList;
// This filter can only operate on data types that are signed.
if (!NumericTraits<OutputPixelType>::is_signed)
{
itkExceptionMacro( << "This filter can only create images of signed data type.");
}
// Allocate output
OutputImageType *output = this->GetOutput();
const InputImageType *input = this->GetInput();
// Break the input into a series of regions. The first region is free
// of boundary conditions, the rest with boundary conditions. Note,
// we pass in the input image and the OUTPUT requested region. We are
// only concerned with centering the neighborhood operator at the
// pixels that correspond to output pixels.
faceList = faceCalculator(input, outputRegionForThread,
m_Operator.GetRadius());
typename FaceListType::iterator fit;
ImageRegionIterator<OutputImageType> it;
// support progress methods/callbacks
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
// Process non-boundary region and each of the boundary faces.
// These are N-d regions which border the edge of the buffer.
ConstNeighborhoodIterator<InputImageType> bit;
for (fit=faceList.begin(); fit != faceList.end(); ++fit)
{
bit =
ConstNeighborhoodIterator<InputImageType>(m_Operator.GetRadius(),
input, *fit);
bit.OverrideBoundaryCondition( m_BoundsCondition );
it = ImageRegionIterator<OutputImageType>(output, *fit);
bit.GoToBegin();
while ( ! bit.IsAtEnd() )
{
it.Value() = static_cast<typename OutputImageType::PixelType>(smartInnerProduct(bit, m_Operator));
++bit;
++it;
progress.CompletedPixel();
}
}
}
} // end namespace itk
#endif
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