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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkWatershedEquivalenceRelabeler.txx,v $
Language: C++
Date: $Date: 2003-09-10 14:28:41 $
Version: $Revision: 1.8 $
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 __itkWatershedEquivalenceRelabeler_txx
#define __itkWatershedEquivalenceRelabeler_txx
#include "itkWatershedEquivalenceRelabeler.h"
#include "itkImageRegionConstIterator.h"
#include "itkImageRegionIterator.h"
namespace itk
{
namespace watershed
{
template <class TScalarType, unsigned int TImageDimension>
void EquivalenceRelabeler<TScalarType, TImageDimension>
::GenerateData()
{
typename ImageType::ConstPointer input = this->GetInputImage();
typename ImageType::Pointer output = this->GetOutputImage();
typename EquivalencyTableType::Pointer eqT = this->GetEquivalencyTable();
output->SetBufferedRegion(output->GetRequestedRegion());
output->Allocate();
//
// Copy input to output
//
ImageRegionConstIterator<ImageType> it_a(input, output->GetRequestedRegion());
ImageRegionIterator<ImageType> it_b(output, output->GetRequestedRegion());
it_a = it_a.Begin();
it_b = it_b.Begin();
while (! it_a.IsAtEnd() )
{
it_b.Set(it_a.Get());
++it_a;
++it_b;
}
eqT->Flatten();
SegmenterType::RelabelImage(output, output->GetRequestedRegion(), eqT);
}
template <class TScalarType, unsigned int ImageDimension>
void EquivalenceRelabeler<TScalarType, ImageDimension>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// get pointers to the input and output
ImageType *inputPtr = const_cast<ImageType *> (this->GetInputImage());
ImageType *outputPtr = this->GetOutputImage();
if ( !inputPtr || !outputPtr )
{
return;
}
/*
// we need to compute the input requested region (size and start index)
int i;
const typename OutputImageType::SizeType& outputRequestedRegionSize
= outputPtr->GetRequestedRegion().GetSize();
const typename OutputImageType::IndexType& outputRequestedRegionStartIndex
= outputPtr->GetRequestedRegion().GetIndex();
typename InputImageType::SizeType inputRequestedRegionSize;
typename InputImageType::IndexType inputRequestedRegionStartIndex;
const typename InputImageType::SizeType inputLargestPossibleRegionSize
= inputPtr->GetLargestPossibleRegion().GetSize();
const typename InputImageType::IndexType inputLargestPossibleRegionStartIndex
= inputPtr->GetLargestPossibleRegion().GetIndex();
// typename InputImageType::RegionType reg1 = inputPtr->GetRequestedRegion();
// reg1.PadByRadius(1);
///
// exit(0);
long crop=0;
for (i = 0; i < TInputImage::ImageDimension; i++)
{
// Calculate a new region that is padded by 1 on each face
inputRequestedRegionSize[i]
= outputRequestedRegionSize[i] + 2;
inputRequestedRegionStartIndex[i]
= outputRequestedRegionStartIndex[i] - 1;
// crop the requested region to the largest possible region
// first check the start index
if (inputRequestedRegionStartIndex[i]
< inputLargestPossibleRegionStartIndex[i])
{
// how much do we need to adjust
crop = inputLargestPossibleRegionStartIndex[i]
- inputRequestedRegionStartIndex[i];
// adjust the start index and the size of the requested region
inputRequestedRegionStartIndex[i] += crop;
inputRequestedRegionSize[i] -= crop;
}
// now check the final size
if (inputRequestedRegionStartIndex[i] + inputRequestedRegionSize[i]
> inputLargestPossibleRegionStartIndex[i]
+ inputLargestPossibleRegionSize[i])
{
// how much do we need to adjust
crop = inputRequestedRegionStartIndex[i] + inputRequestedRegionSize[i]
- inputLargestPossibleRegionStartIndex[i]
- inputLargestPossibleRegionSize[i];
// adjust the size
inputRequestedRegionSize[i] -= crop;
}
}
typename TInputImage::RegionType inputRequestedRegion;
inputRequestedRegion.SetSize( inputRequestedRegionSize );
inputRequestedRegion.SetIndex( inputRequestedRegionStartIndex );
inputPtr->SetRequestedRegion( inputRequestedRegion );
*/
//
// FOR NOW WE'LL JUST SET THE INPUT REGION TO THE OUTPUT REGION
// FOR STREAMING WITHIN THE PIPELINE NEED TO FIX THIS
//
inputPtr->SetRequestedRegion( outputPtr->GetRequestedRegion() );
}
template <class TScalarType, unsigned int TImageDimension>
void EquivalenceRelabeler<TScalarType, TImageDimension>
::GenerateOutputRequestedRegion(DataObject *output)
{
// Only the Image output need to be propagated through.
// No choice but to use RTTI here.
// All Image outputs set to the same RequestedRegion other
// outputs ignored.
ImageBase<ImageDimension> *imgData;
ImageBase<ImageDimension> *op;
imgData = dynamic_cast<ImageBase<ImageDimension> * >(output);
if (imgData)
{
std::vector<ProcessObject::DataObjectPointer>::size_type idx;
for (idx = 0; idx < this->GetOutputs().size(); ++idx)
{
if (this->GetOutputs()[idx] && this->GetOutputs()[idx] != output)
{
op = dynamic_cast<ImageBase<ImageDimension> *>(this->GetOutputs()[idx].GetPointer());
if (op) this->GetOutputs()[idx]->SetRequestedRegion(output);
}
}
}
}
template <class TScalarType, unsigned int TImageDimension>
void EquivalenceRelabeler<TScalarType, TImageDimension>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
}
template <class TScalarType, unsigned int TImageDimension>
typename EquivalenceRelabeler<TScalarType, TImageDimension>::DataObjectPointer
EquivalenceRelabeler<TScalarType, TImageDimension>
::MakeOutput(unsigned int )
{
return static_cast<DataObject*>(ImageType::New().GetPointer());
}
}// end namespace watershed
}// end namespace itk
#endif
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