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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkZeroCrossingImageFilter.txx,v $
Language: C++
Date: $Date: 2006-01-11 19:43:32 $
Version: $Revision: 1.27 $
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 _itkZeroCrossingImageFilter_txx
#define _itkZeroCrossingImageFilter_txx
#include "itkConstNeighborhoodIterator.h"
#include "itkZeroCrossingImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
#include "itkFixedArray.h"
#include "itkProgressReporter.h"
namespace itk
{
template <class TInputImage, class TOutputImage>
void
ZeroCrossingImageFilter<TInputImage,TOutputImage>
::GenerateInputRequestedRegion() throw(InvalidRequestedRegionError)
{
// 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;
}
// Build an operator so that we can determine the kernel size
unsigned long radius = 1;
// 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( radius );
// 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 >
void
ZeroCrossingImageFilter< TInputImage, TOutputImage >
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
int threadId)
{
unsigned int i;
ZeroFluxNeumannBoundaryCondition<TInputImage> nbc;
ConstNeighborhoodIterator<TInputImage> bit;
ImageRegionIterator<TOutputImage> it;
typename OutputImageType::Pointer output = this->GetOutput();
typename InputImageType::ConstPointer input = this->GetInput();
// Calculate iterator radius
Size<ImageDimension> radius;
radius.Fill(1);
// Find the data-set boundary "faces"
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>::
FaceListType faceList;
NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage> bC;
faceList = bC(input, outputRegionForThread, radius);
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>::
FaceListType::iterator fit;
// support progress methods/callbacks
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
InputImagePixelType this_one, that, abs_this_one, abs_that;
InputImagePixelType zero = NumericTraits<InputImagePixelType>::Zero;
FixedArray<long, 2 * ImageDimension> offset;
bit = ConstNeighborhoodIterator<InputImageType>(radius,
input,
*faceList.begin());
//Set the offset of the neighbors to the center pixel.
for ( i = 0 ; i < ImageDimension; i++)
{
offset[i] = -1 * static_cast<long>( bit.GetStride(i));
offset[i+ImageDimension] = bit.GetStride(i);
}
// Process each of the boundary faces. These are N-d regions which border
// the edge of the buffer.
for (fit=faceList.begin(); fit != faceList.end(); ++fit)
{
bit = ConstNeighborhoodIterator<InputImageType>(radius,
input, *fit);
it = ImageRegionIterator<OutputImageType>(output, *fit);
bit.OverrideBoundaryCondition(&nbc);
bit.GoToBegin();
const unsigned long center = bit.Size()/2;
while ( ! bit.IsAtEnd() )
{
this_one = bit.GetPixel(center);
it.Set(m_BackgroundValue);
for( i = 0; i< ImageDimension * 2; i++)
{
that = bit.GetPixel(center + offset[i]);
if( ((this_one < zero) && (that > zero))
|| ((this_one > zero) && (that < zero))
|| ((this_one == zero) && (that != zero))
|| ((this_one != zero) && (that == zero)) )
{
abs_this_one = vnl_math_abs(this_one);
abs_that = vnl_math_abs(that);
if(abs_this_one < abs_that)
{
it.Set(m_ForegroundValue);
break;
}
else if(abs_this_one == abs_that && i >= ImageDimension)
{
it.Set(m_ForegroundValue);
break;
}
}
}
++bit;
++it;
progress.CompletedPixel();
}
}
}
template< class TInputImage, class TOutputImage >
void
ZeroCrossingImageFilter< TInputImage, TOutputImage >
::PrintSelf( std::ostream& os, Indent indent ) const
{
Superclass::PrintSelf(os,indent);
os << indent << "ForegroundValue: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_ForegroundValue)
<< std::endl;
os << indent << "BackgroundValue: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_BackgroundValue)
<< std::endl;
}
}//end of itk namespace
#endif
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