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itkLevelSetNeighborhoodExtractor.txx
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itkLevelSetNeighborhoodExtractor.txx
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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkLevelSetNeighborhoodExtractor.txx
Language: C++
Date: $Date$
Version: $Revision$
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 _itkLevelSetNeighborhoodExtractor_txx
#define _itkLevelSetNeighborhoodExtractor_txx
#include "itkLevelSetNeighborhoodExtractor.h"
#include "itkImageRegionConstIterator.h"
#include "itkImageRegionIterator.h"
#include "itkNumericTraits.h"
#include "vnl/vnl_math.h"
#include <algorithm>
namespace itk
{
/*
*
*/
template <class TLevelSet>
LevelSetNeighborhoodExtractor<TLevelSet>
::LevelSetNeighborhoodExtractor()
{
m_LevelSetValue = 0.0;
m_InsidePoints = 0;
m_OutsidePoints = 0;
m_InputLevelSet = 0;
m_LargeValue = NumericTraits<PixelType>::max();
m_NodesUsed.resize( SetDimension );
m_NarrowBanding = false;
m_NarrowBandwidth = 12.0;
m_InputNarrowBand = 0;
for (unsigned int i=0; i < SetDimension; ++i)
{
m_ImageSize[i] = 0;
}
}
/*
*
*/
template <class TLevelSet>
void
LevelSetNeighborhoodExtractor<TLevelSet>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Input level set: " << m_InputLevelSet.GetPointer();
os << std::endl;
os << indent << "Level set value: " << m_LevelSetValue << std::endl;
os << indent << "Narrow bandwidth: " << m_NarrowBandwidth << std::endl;
os << indent << "Narrowbanding: " << m_NarrowBanding << std::endl;
os << indent << "Input narrow band: ";
os << m_InputNarrowBand.GetPointer() << std::endl;
}
/*
*
*/
template <class TLevelSet>
void
LevelSetNeighborhoodExtractor<TLevelSet>
::SetInputNarrowBand(
NodeContainer * ptr )
{
if( m_InputNarrowBand != ptr )
{
m_InputNarrowBand = ptr;
this->Modified();
}
}
/*
*
*/
template <class TLevelSet>
void
LevelSetNeighborhoodExtractor<TLevelSet>
::Locate()
{
this->GenerateData();
}
/*
*
*/
template <class TLevelSet>
void
LevelSetNeighborhoodExtractor<TLevelSet>
::Initialize()
{
// create new emtpy points containers
m_InsidePoints = NodeContainer::New();
m_OutsidePoints = NodeContainer::New();
typename TLevelSet::SizeType size =
m_InputLevelSet->GetBufferedRegion().GetSize();
for( unsigned int j = 0; j < SetDimension; j++ )
{
m_ImageSize[j] = (signed long) size[j];
}
}
/*
*
*/
template <class TLevelSet>
void
LevelSetNeighborhoodExtractor<TLevelSet>
::GenerateData()
{
if( !m_InputLevelSet )
{
itkExceptionMacro( << "Input level set is NULL" );
}
this->Initialize();
if( m_NarrowBanding )
{
this->GenerateDataNarrowBand();
}
else
{
this->GenerateDataFull();
}
itkDebugMacro(<< "No. inside points: " << m_InsidePoints->Size());
itkDebugMacro(<< "No. outside points: " << m_OutsidePoints->Size());
}
/*
*
*/
template <class TLevelSet>
void
LevelSetNeighborhoodExtractor<TLevelSet>
::GenerateDataFull()
{
typedef ImageRegionConstIterator<LevelSetImageType> InputConstIterator;
InputConstIterator inIt ( m_InputLevelSet,
m_InputLevelSet->GetBufferedRegion() );
IndexType inputIndex;
unsigned long totalPixels =
m_InputLevelSet->GetBufferedRegion().GetNumberOfPixels();
unsigned long updateVisits = totalPixels / 10;
if ( updateVisits < 1) { updateVisits = 1; }
unsigned long i;
for ( i = 0; !inIt.IsAtEnd(); ++inIt, ++i )
{
// update progress
if ( !(i % updateVisits) )
{
this->UpdateProgress( (float) i/ (float) totalPixels );
}
inputIndex = inIt.GetIndex();
this->CalculateDistance( inputIndex );
}
}
/*
*
*/
template <class TLevelSet>
void
LevelSetNeighborhoodExtractor<TLevelSet>
::GenerateDataNarrowBand()
{
if ( !m_InputNarrowBand )
{
itkExceptionMacro( << "InputNarrowBand has not been set" );
}
typename NodeContainer::ConstIterator pointsIter;
typename NodeContainer::ConstIterator pointsEnd;
pointsIter = m_InputNarrowBand->Begin();
pointsEnd = m_InputNarrowBand->End();
NodeType node;
double maxValue = m_NarrowBandwidth / 2.0;
unsigned long totalPixels = m_InputNarrowBand->Size();
unsigned long updateVisits = totalPixels / 10;
if ( updateVisits < 1) { updateVisits = 1; }
unsigned int i;
for ( i = 0; pointsIter != pointsEnd; ++pointsIter, ++i )
{
// update progress
if ( !(i % updateVisits) )
{
this->UpdateProgress( (float) i/ (float) totalPixels );
}
node = pointsIter.Value();
if ( vnl_math_abs( node.GetValue() ) <= maxValue )
{
this->CalculateDistance( node.GetIndex() );
}
}
}
/*
*
*/
template <class TLevelSet>
double
LevelSetNeighborhoodExtractor<TLevelSet>
::CalculateDistance(
IndexType& index)
{
m_LastPointIsInside = false;
typename LevelSetImageType::PixelType centerValue;
PixelType inputPixel;
inputPixel = m_InputLevelSet->GetPixel( index );
centerValue = (double) inputPixel ;
centerValue -= m_LevelSetValue;
NodeType centerNode;
centerNode.SetIndex( index );
if( centerValue == 0.0 )
{
centerNode.SetValue( 0.0 );
m_InsidePoints->InsertElement( m_InsidePoints->Size(), centerNode );
m_LastPointIsInside = true;
return 0.0;
}
bool inside = ( centerValue <= 0.0 );
IndexType neighIndex = index;
typename LevelSetImageType::PixelType neighValue;
NodeType neighNode;
double distance;
// In each dimension, find the distance to the zero set
// by linear interpolating along the grid line.
for( unsigned int j = 0; j < SetDimension; j++ )
{
neighNode.SetValue( m_LargeValue );
for( int s = -1; s < 2; s = s + 2 )
{
neighIndex[j] = index[j] + s;
if( neighIndex[j] > m_ImageSize[j] - 1 ||
neighIndex[j] < 0 )
{
continue;
}
inputPixel = m_InputLevelSet->GetPixel( neighIndex );
neighValue = inputPixel;
neighValue -= m_LevelSetValue;
if( ( neighValue > 0 && inside ) ||
( neighValue < 0 && !inside ) )
{
distance = centerValue / ( centerValue - neighValue );
if( neighNode.GetValue() > distance )
{
neighNode.SetValue( distance );
neighNode.SetIndex( neighIndex );
}
}
} // end one dim loop
// put the minimum distance neighbor onto the heap
m_NodesUsed[j] = neighNode;
// reset neighIndex
neighIndex[j] = index[j];
} // end dimension loop
// sort the neighbors according to distance
std::sort( m_NodesUsed.begin(), m_NodesUsed.end() );
// The final distance is given by the minimum distance to the plane
// crossing formed by the zero set crossing points.
distance = 0.0;
for( unsigned int j = 0; j < SetDimension; j++ )
{
neighNode = m_NodesUsed[j];
if( neighNode.GetValue() >= m_LargeValue )
{
break;
}
distance += 1.0 / vnl_math_sqr( (double)neighNode.GetValue() );
}
if( distance == 0.0 )
{
return m_LargeValue;
}
distance = vcl_sqrt( 1.0 / distance );
centerNode.SetValue( distance );
if( inside )
{
m_InsidePoints->InsertElement( m_InsidePoints->Size(), centerNode );
m_LastPointIsInside = true;
}
else
{
m_OutsidePoints->InsertElement( m_OutsidePoints->Size(), centerNode );
m_LastPointIsInside = false;
}
return distance;
}
} // namespace itk
#endif