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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMorphologicalGradientImageFilter.txx,v $
Language: C++
Date: $Date: 2006-02-03 12:46:46 $
Version: $Revision: 1.1 $
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 __itkMorphologicalGradientImageFilter_txx
#define __itkMorphologicalGradientImageFilter_txx
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkMorphologicalGradientImageFilter.h"
#include "itkGrayscaleErodeImageFilter.h"
#include "itkGrayscaleDilateImageFilter.h"
#include "itkSubtractImageFilter.h"
#include "itkProgressAccumulator.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
namespace itk {
template <class TInputImage, class TOutputImage, class TKernel>
MorphologicalGradientImageFilter<TInputImage, TOutputImage, TKernel>
::MorphologicalGradientImageFilter()
: m_Kernel()
{
}
template <class TInputImage, class TOutputImage, class TKernel>
void
MorphologicalGradientImageFilter<TInputImage, TOutputImage, TKernel>
::GenerateInputRequestedRegion()
{
// 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() );
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_Kernel.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__);
OStringStream msg;
msg << static_cast<const char *>(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 TKernel>
void
MorphologicalGradientImageFilter<TInputImage, TOutputImage, TKernel>
::GenerateData()
{
// Create a process accumulator for tracking the progress of this minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Allocate the output
this->AllocateOutputs();
// Delegate to a dilate filter.
typename GrayscaleDilateImageFilter<TInputImage, TInputImage, TKernel>::Pointer
dilate = GrayscaleDilateImageFilter<TInputImage, TInputImage, TKernel>::New();
dilate->SetInput( this->GetInput() );
dilate->SetKernel( this->m_Kernel );
dilate->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter( dilate,.45f );
// Delegate to an erode filter.
typename GrayscaleErodeImageFilter<TInputImage, TInputImage, TKernel>::Pointer
erode = GrayscaleErodeImageFilter<TInputImage, TInputImage, TKernel>::New();
erode->SetInput( this->GetInput() );
erode->SetKernel( this->m_Kernel );
erode->SetNumberOfThreads( this->GetNumberOfThreads() );
progress->RegisterInternalFilter( erode,.45f );
// Need to subtract the eroded image from the dialted one
typename SubtractImageFilter<TInputImage, TInputImage, TOutputImage>::Pointer
subtract=SubtractImageFilter<TInputImage,TInputImage,TOutputImage>::New();
subtract->SetInput1( dilate->GetOutput() );
subtract->SetInput2( erode->GetOutput() );
subtract->SetNumberOfThreads( this->GetNumberOfThreads() );
// graft our output to the subtract filter to force the proper regions
// to be generated
subtract->GraftOutput( this->GetOutput() );
// run the algorithm
progress->RegisterInternalFilter( subtract,.1f );
subtract->Update();
// graft the output of the subtract filter back onto this filter's
// output. this is needed to get the appropriate regions passed
// back.
this->GraftOutput( subtract->GetOutput() );
}
template<class TInputImage, class TOutputImage, class TKernel>
void
MorphologicalGradientImageFilter<TInputImage, TOutputImage, TKernel>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Kernel: " << m_Kernel << std::endl;
}
}// end namespace itk
#endif
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