/usr/include/InsightToolkit/Review/itkScalarRegionBasedLevelSetFunction.txx is in libinsighttoolkit3-dev 3.20.1-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkScalarRegionBasedLevelSetFunction.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 __itkScalarRegionBasedLevelSetFunction_txx
#define __itkScalarRegionBasedLevelSetFunction_txx
#include "itkScalarRegionBasedLevelSetFunction.h"
namespace itk {
// Computes the overlap multiplicative factors for the penalty term (sum) and
// the background intensity fitting terms in multiphase level-sets
template < class TInputImage, class TFeatureImage, class TSharedData >
typename ScalarRegionBasedLevelSetFunction< TInputImage, TFeatureImage, TSharedData >::ScalarValueType
ScalarRegionBasedLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::ComputeOverlapParameters( const FeatureIndexType& globalIndex, ScalarValueType& product )
{
// This conditional statement computes the amount of overlap s
// and the presence of background pr
unsigned int fId = this->m_FunctionId;
// accumulates the overlap across all functions
ScalarValueType sum = 0;
product = 1.;
ListPixelType L;
L = this->m_SharedData->m_NearestNeighborListImage->GetPixel( globalIndex );
InputPixelType hVal;
InputIndexType otherIndex;
for ( ListPixelIterator it = L.begin(); it != L.end(); ++it )
{
if ( *it != fId )
{
otherIndex = this->m_SharedData->m_LevelSetDataPointerVector[*it]->GetIndex( globalIndex );
hVal = this->m_SharedData->m_LevelSetDataPointerVector[*it]->m_HeavisideFunctionOfLevelSetImage->GetPixel( otherIndex );
sum += (1 - hVal);
product *= ( 1 - hVal );
}
}
return sum;
}
/* Performs the narrow-band update of the Heaviside function for each voxel. The
characteristic function of each region is recomputed (note the shared
data which contains information from the other level sets). Using the
new H values, the previous c_i are updated. Used by only the sparse image
filter */
template < class TInputImage, class TFeatureImage, class TSharedData >
void
ScalarRegionBasedLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::UpdatePixel( const unsigned int& idx, NeighborhoodIterator< TInputImage >
&iterator, InputPixelType &newValue, bool & itkNotUsed(status) )
{
unsigned int fId = this->m_FunctionId;
// For each affected h val: h val = new hval (this will dirty some cvals)
InputIndexType inputIndex = iterator.GetIndex( idx );
FeatureIndexType globalIndex = this->m_SharedData->m_LevelSetDataPointerVector[fId]->GetFeatureIndex( inputIndex );
FeaturePixelType featureVal = this->m_FeatureImage->GetPixel( inputIndex );
ScalarValueType oldH = this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_HeavisideFunctionOfLevelSetImage->GetPixel( inputIndex );
ScalarValueType newH = this->m_DomainFunction->Evaluate( - newValue );
ScalarValueType change = newH - oldH;
// update the foreground constant for current level-set function
UpdateSharedDataInsideParameters( fId, featureVal, change );
// Compute the product factor
ListPixelType L = this->m_SharedData->m_NearestNeighborListImage->GetPixel( globalIndex );
InputIndexType itInputIndex;
ScalarValueType hVal;
InputPixelType product = 1;
for( ListPixelType::const_iterator it = L.begin(); it != L.end(); ++it )
{
if (*it != fId )
{
itInputIndex = this->m_SharedData->m_LevelSetDataPointerVector[*it]->GetIndex( globalIndex );
hVal = this->m_SharedData->m_LevelSetDataPointerVector[*it]->m_HeavisideFunctionOfLevelSetImage->GetPixel( itInputIndex );
product *= ( 1 - hVal );
}
}
// Determine the change in the product factor
ScalarValueType productChange = -(product * change);
// update the background constant of all level-set functions
for( ListPixelType::const_iterator it = L.begin(); it != L.end(); ++it )
{
UpdateSharedDataOutsideParameters( *it, featureVal, productChange );
}
this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_HeavisideFunctionOfLevelSetImage->SetPixel( inputIndex, newH );
}
} // end namespace itk
#endif
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