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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkInterpolateImagePointsFilter.txx,v $
Language: C++
Date: $Date: 2003-12-09 17:18:23 $
Version: $Revision: 1.7 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
Portions of this code are covered under the VTK copyright.
See VTKCopyright.txt or http://www.kitware.com/VTKCopyright.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 _itkInterpolateImagePointsFilter_txx
#define _itkInterpolateImagePointsFilter_txx
#include "itkInterpolateImagePointsFilter.h"
#include "itkProgressReporter.h"
namespace itk
{
/**
* Constructor
*/
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
InterpolateImagePointsFilter<TInputImage,TOutputImage, TCoordType, InterpolatorType>
::InterpolateImagePointsFilter()
{
m_Interpolator = InterpolatorType::New();
m_DefaultPixelValue = 0;
}
/**
* Standard "PrintSelf" method
*/
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
void
InterpolateImagePointsFilter<TInputImage,TOutputImage, TCoordType, InterpolatorType>
::PrintSelf(
std::ostream& os,
Indent indent) const
{
Superclass::PrintSelf( os, indent );
os << indent << "Default (background) pixel level: " << m_DefaultPixelValue << std::endl;
}
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
void
InterpolateImagePointsFilter<TInputImage, TOutputImage, TCoordType, InterpolatorType>
::SetInputImage (const TInputImage * inputImage)
{
this->SetInput(0, inputImage); // This is a data filter input
// ***TODO: Where should this be done? During the filter update?
// should be converted to a filter.
m_Interpolator->SetInputImage(inputImage);
}
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
void
InterpolateImagePointsFilter<TInputImage, TOutputImage, TCoordType, InterpolatorType>
::SetInterpolationCoordinate (const CoordImageType * coordinate, unsigned int setDimension)
{
// Set each coordinate as an input. Note that Input '0' is for the image.
this->SetInput(setDimension+1, coordinate); // This is a data filter input
}
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
void
InterpolateImagePointsFilter<TInputImage, TOutputImage, TCoordType, InterpolatorType>
::BeforeThreadedGenerateData()
{
itkDebugMacro(<<"Actually Executing");
// ***TODO: What needs to be done here? Should we set the input image at this time?
// ** Also, where is the output allocated?
// OutputImagePointer outputPtr = this->GetOutput();
// outputPtr->SetBufferedRegion( outputPtr->GetRequestedRegion() );
// outputPtr->Allocate();
}
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
void
InterpolateImagePointsFilter<TInputImage, TOutputImage, TCoordType, InterpolatorType>
::ThreadedGenerateData( const OutputImageRegionType& outputRegionForThread,
int threadId )
{
itkDebugMacro(<<"Actually Executing");
OutputImagePointer outputPtr = this->GetOutput();
// There is a direct mapping between the desired outputRegion and the CoordRegion
// coordRegion is set to outputRegionForThread.
RegionCopierType regionCopier;
CoordImageRegionType coordRegion;
regionCopier( coordRegion, outputRegionForThread );
// Setup iterator for the output
OutputImageIterator outIter(outputPtr,outputRegionForThread);
//outIter.GoToBegin(); //Not sure if this is needed or inappropriate for threading.
// Setup an interator for each of the coordinate inputs.
CoordImageIterator coordIter[ImageDimension];
for (unsigned int j = 0; j < ImageDimension; j++)
{
CoordImageIterator temp( this->GetInput(j+1), coordRegion );
// temp.GoToBegin(); //Not sure if this is needed or inappropriate for threading.
coordIter[j] = temp;
}
// Support for progress methods/callbacks
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels() );
// Loop through each pixel and calculate interpolated value.
ContinuousIndexType index;
while (!outIter.IsAtEnd())
{
for (unsigned int j = 0; j < ImageDimension; j++)
{
index[j] = (coordIter[j]).Value();
++(coordIter[j]);
}
if ( m_Interpolator->IsInsideBuffer(index) )
{
outIter.Set( m_Interpolator->EvaluateAtContinuousIndex( index ) );
// TODO: How can we modify the code so that it could also interpolate
// from a set of point coordinates instead of Continuous Index coordinates?
// If this line is used instead of the above line then this will
// calculate from points. ( PointType point must replace index throughout this
// function.)
// outIter.Set( m_Interpolator->Evaluate( point );
}
else
{
outIter.Set(m_DefaultPixelValue);
}
++outIter;
progress.CompletedPixel();
}
}
/**
*
*/
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
void
InterpolateImagePointsFilter<TInputImage, TOutputImage, TCoordType, InterpolatorType>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
if ( !this->GetInput(0) )
{
return;
}
// The coordinates may have arbitrary ordering so the entire image must be available
// for the filter. The coordinates on the other hand have the default requested
// region size.
InputImagePointer inputPtr = const_cast< TInputImage * > ( this->GetInput(0) );
inputPtr->SetRequestedRegionToLargestPossibleRegion();
}
/**
*
*/
template <class TInputImage, class TOutputImage, class TCoordType, class InterpolatorType>
void
InterpolateImagePointsFilter<TInputImage, TOutputImage, TCoordType, InterpolatorType>
::GenerateOutputInformation()
{
// call the superclass' implementation of this method
Superclass::GenerateOutputInformation();
// This sets the largestPossibleRegion to ensure it is the same as
// the coordinates. While this should be the default behavor, given the
// multiple inputs it may incorrectly default to the image largestPossibleRegion
// thus this method was explicitly written.
CoordImageTypePointer xCoordPtr = const_cast< TInputImage * > ( this->GetInput(1) );
OutputImagePointer outputPtr = this->GetOutput();
// we need to compute the output spacing, the output image size, and the
// output image start index. This is all determined by the coordinate data
const typename TOutputImage::SpacingType&
outputSpacing = xCoordPtr->GetSpacing();
const typename TOutputImage::SizeType& outputSize
= xCoordPtr->GetLargestPossibleRegion().GetSize();
const typename TOutputImage::IndexType& outputStartIndex
= xCoordPtr->GetLargestPossibleRegion().GetIndex();
outputPtr->SetSpacing( outputSpacing );
typename TOutputImage::RegionType outputLargestPossibleRegion;
outputLargestPossibleRegion.SetSize( outputSize );
outputLargestPossibleRegion.SetIndex( outputStartIndex );
outputPtr->SetLargestPossibleRegion( outputLargestPossibleRegion );
//***TODO: We have set the LargestPossibleRegion should we also set the requested
// region at this stage?
}
} // namespace itk
#endif
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