File: itkPadImageFilter.txx

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkPadImageFilter.txx,v $
  Language:  C++
  Date:      $Date: 2003-09-10 14:28:54 $
  Version:   $Revision: 1.16 $

  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 _itkPadImageFilter_txx
#define _itkPadImageFilter_txx

#include "itkPadImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkObjectFactory.h"

namespace itk
{

/**
 *
 */
template <class TInputImage, class TOutputImage>
PadImageFilter<TInputImage,TOutputImage>
::PadImageFilter()
{
  for( unsigned int j = 0; j < ImageDimension; j++ )
    {
    m_PadLowerBound[j] = 0;
    m_PadUpperBound[j] = 0;
    }
}


/**
 *
 */
template <class TInputImage, class TOutputImage>
void 
PadImageFilter<TInputImage,TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
  Superclass::PrintSelf(os,indent);

  os << indent << "Output Pad Lower Bounds: [";

  if (ImageDimension >= 1) 
    {
    os << m_PadLowerBound[0];
    }
  for( unsigned int j = 1; j < ImageDimension; j++ )
    {
    os << ", " << m_PadLowerBound[j];
    } 
  os << "]" << std::endl;

  os << indent << "Output Pad Upper Bounds: [";
  if (ImageDimension >= 1) 
    {
    os << m_PadUpperBound[0];
    }
  for( unsigned int j = 1; j < ImageDimension; j++ )
    {
    os << ", " << m_PadUpperBound[j];
    } 
  os << "]" << std::endl;
}


/** 
 * PadImageFilter needs a smaller input requested region than
 * output requested region.  As such, PadImageFilter needs to
 * provide an implementation for GenerateInputRequestedRegion() in
 * order to inform the pipeline execution model.
 *
 * \sa ProcessObject::GenerateInputRequestedRegion() 
 */
template <class TInputImage, class TOutputImage>
void 
PadImageFilter<TInputImage,TOutputImage>
::GenerateInputRequestedRegion()
{
  long sizeTemp;

  // 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;
    }

  // we need to compute the input requested region (size and start index)
  unsigned int i;
  const typename TOutputImage::SizeType& outputRequestedRegionSize
    = outputPtr->GetRequestedRegion().GetSize();
  const typename TOutputImage::IndexType& outputRequestedRegionStartIndex
    = outputPtr->GetRequestedRegion().GetIndex();
  const typename TInputImage::SizeType& inputWholeRegionSize
    = inputPtr->GetLargestPossibleRegion().GetSize();
  const typename TInputImage::IndexType& inputWholeRegionStartIndex
    = inputPtr->GetLargestPossibleRegion().GetIndex();
  
  typename TInputImage::SizeType  inputRequestedRegionSize;
  typename TInputImage::IndexType inputRequestedRegionStartIndex;
  
  for (i = 0; i < TInputImage::ImageDimension; i++)
    {
    if (outputRequestedRegionStartIndex[i] <= inputWholeRegionStartIndex[i]) 
      {
      inputRequestedRegionStartIndex[i] = inputWholeRegionStartIndex[i];
      }
    else
      {
      inputRequestedRegionStartIndex[i] = 
        outputRequestedRegionStartIndex[i];
      }

    if ((inputWholeRegionStartIndex[i]+static_cast<long>(inputWholeRegionSize[i])) <= 
        (outputRequestedRegionStartIndex[i]+static_cast<long>(outputRequestedRegionSize[i])))
      {
      sizeTemp = static_cast<long>(inputWholeRegionSize[i]) 
        + inputWholeRegionStartIndex[i] - inputRequestedRegionStartIndex[i];
      }
    else
      {
      sizeTemp = static_cast<long>(outputRequestedRegionSize[i])
        + outputRequestedRegionStartIndex[i] - inputRequestedRegionStartIndex[i];
      }

    //
    // The previous statements correctly handle overlapped regions where
    // at least some of the pixels from the input image end up reflected 
    // in the output.  When there is no overlap, the size will be negative.
    // In that case we arbitrarily pick the start of the input region
    // as the start of the output region and zero for the size.
    // 
    if (sizeTemp < 0) 
      {
      inputRequestedRegionSize[i] = 0;
      inputRequestedRegionStartIndex[i] = inputWholeRegionStartIndex[i];
      } else {
      inputRequestedRegionSize[i] = sizeTemp;
      }

    }

  typename TInputImage::RegionType inputRequestedRegion;
  inputRequestedRegion.SetSize( inputRequestedRegionSize );
  inputRequestedRegion.SetIndex( inputRequestedRegionStartIndex );

  inputPtr->SetRequestedRegion( inputRequestedRegion );
}


/** 
 * PadImageFilter produces an image which is a different resolution
 * than its input image.  As such, PadImageFilter needs to provide an
 * implementation for GenerateOutputInformation() in order to inform
 * the pipeline execution model.  The original documentation of this
 * method is below.
 *
 * \sa ProcessObject::GenerateOutputInformaton() 
 */
template <class TInputImage, class TOutputImage>
void 
PadImageFilter<TInputImage,TOutputImage>
::GenerateOutputInformation()
{
  // call the superclass' implementation of this method
  Superclass::GenerateOutputInformation();

  // get pointers to the input and output
  typename Superclass::InputImageConstPointer inputPtr  = this->GetInput();
  typename Superclass::OutputImagePointer     outputPtr = this->GetOutput();

  if ( !outputPtr || !inputPtr)
    {
    return;
    }

  // we need to compute the output image size, and the
  // output image start index
  unsigned int i;
  typename TOutputImage::SizeType     outputSize;
  typename TOutputImage::IndexType    outputStartIndex;
  typename TInputImage::SizeType      inputSize;
  typename TInputImage::IndexType     inputStartIndex;
  
  inputSize = inputPtr->GetLargestPossibleRegion().GetSize();
  inputStartIndex = inputPtr->GetLargestPossibleRegion().GetIndex();

  for (i = 0; i < TOutputImage::ImageDimension; i++)
    {
    outputSize[i] = static_cast<long>(inputSize[i]) + m_PadLowerBound[i] + m_PadUpperBound [i];
    outputStartIndex[i] = inputStartIndex[i] - static_cast<long>(m_PadLowerBound[i]);
    }

  typename TOutputImage::RegionType outputLargestPossibleRegion;
  outputLargestPossibleRegion.SetSize( outputSize );
  outputLargestPossibleRegion.SetIndex( outputStartIndex );

  outputPtr->SetLargestPossibleRegion( outputLargestPossibleRegion );
}

} // end namespace itk

#endif