This file is indexed.

/usr/include/ITK-4.5/itkScalarRegionBasedLevelSetFunction.hxx is in libinsighttoolkit4-dev 4.5.0-3.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  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
117
118
/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef __itkScalarRegionBasedLevelSetFunction_hxx
#define __itkScalarRegionBasedLevelSetFunction_hxx

#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< typename TInputImage, typename TFeatureImage, typename 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< typename TInputImage, typename TFeatureImage, typename 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