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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkVotingBinaryHoleFillingImageFilter.txx,v $
Language: C++
Date: $Date: 2008-01-02 01:32:34 $
Version: $Revision: 1.5 $
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 _itkVotingBinaryHoleFillingImageFilter_txx
#define _itkVotingBinaryHoleFillingImageFilter_txx
#include "itkVotingBinaryHoleFillingImageFilter.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
#include <vector>
#include <algorithm>
namespace itk
{
template <class TInputImage, class TOutputImage>
VotingBinaryHoleFillingImageFilter<TInputImage, TOutputImage>
::VotingBinaryHoleFillingImageFilter()
{
this->SetSurvivalThreshold(0);
this->m_MajorityThreshold = 1;
this->m_NumberOfPixelsChanged = 0;
}
template< class TInputImage, class TOutputImage>
void
VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage>
::BeforeThreadedGenerateData()
{
unsigned int threshold = 1;
InputSizeType radius = this->GetRadius();
for(unsigned int i=0; i<InputImageDimension; i++)
{
threshold *= (2*radius[i] + 1 );
}
// remove central pixel and take 50%
threshold = static_cast<unsigned int>( (threshold - 1 ) / 2.0 );
// add the majority threshold.
threshold += this->GetMajorityThreshold();
this->SetBirthThreshold( threshold );
this->SetSurvivalThreshold(0);
this->m_NumberOfPixelsChanged = 0;
unsigned int numberOfThreads = this->GetNumberOfThreads();
this->m_Count.SetSize(numberOfThreads);
for(unsigned int i=0; i<numberOfThreads; i++)
{
this->m_Count[i] = 0;
}
}
template< class TInputImage, class TOutputImage>
void
VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
int threadId)
{
ZeroFluxNeumannBoundaryCondition<InputImageType> nbc;
ConstNeighborhoodIterator<InputImageType> bit;
ImageRegionIterator<OutputImageType> it;
// Allocate output
typename OutputImageType::Pointer output = this->GetOutput();
typename InputImageType::ConstPointer input = this->GetInput();
// Find the data-set boundary "faces"
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType faceList;
NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType> bC;
faceList = bC(input, outputRegionForThread, this->GetRadius() );
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType::iterator fit;
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
const InputPixelType backgroundValue = this->GetBackgroundValue();
const InputPixelType foregroundValue = this->GetForegroundValue();
const unsigned int birthThreshold = (unsigned int)(this->GetBirthThreshold());
unsigned int numberOfPixelsChanged = 0;
// 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>(this->GetRadius(), input, *fit);
it = ImageRegionIterator<OutputImageType>(output, *fit);
bit.OverrideBoundaryCondition(&nbc);
bit.GoToBegin();
unsigned int neighborhoodSize = bit.Size();
while ( ! bit.IsAtEnd() )
{
const InputPixelType inpixel = bit.GetCenterPixel();
if( inpixel == backgroundValue )
{
// count the pixels ON in the neighborhood
unsigned int count = 0;
for (unsigned int i = 0; i < neighborhoodSize; ++i)
{
InputPixelType value = bit.GetPixel(i);
if( value == foregroundValue )
{
count++;
}
}
if( count >= birthThreshold )
{
it.Set( static_cast<OutputPixelType>( foregroundValue ) );
numberOfPixelsChanged++;
}
else
{
it.Set( static_cast<OutputPixelType>( backgroundValue ) );
}
}
else
{
it.Set( static_cast<OutputPixelType>( foregroundValue ) );
}
++bit;
++it;
progress.CompletedPixel();
}
}
this->m_Count[threadId] = numberOfPixelsChanged;
}
template< class TInputImage, class TOutputImage>
void
VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage>
::AfterThreadedGenerateData()
{
this->m_NumberOfPixelsChanged = 0;
unsigned int numberOfThreads = this->GetNumberOfThreads();
this->m_Count.SetSize(numberOfThreads);
for(unsigned int t=0; t<numberOfThreads; t++)
{
this->m_NumberOfPixelsChanged += this->m_Count[t];
}
}
/**
* Standard "PrintSelf" method
*/
template <class TInputImage, class TOutput>
void
VotingBinaryHoleFillingImageFilter<TInputImage, TOutput>
::PrintSelf(
std::ostream& os,
Indent indent) const
{
Superclass::PrintSelf( os, indent );
os << indent << "Majority Threshold : " << m_MajorityThreshold << std::endl;
os << indent << "Number of Pixels Changed : " << m_NumberOfPixelsChanged << std::endl;
}
} // end namespace itk
#endif
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