libinsighttoolkit4-dev 4.9.0-4ubuntu1 / usr / include / ITK-4.9 / itkScalarChanAndVeseLevelSetFunction.hxx

/*=========================================================================
 *
 *  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 itkScalarChanAndVeseLevelSetFunction_hxx
#define itkScalarChanAndVeseLevelSetFunction_hxx

#include "itkScalarChanAndVeseLevelSetFunction.h"

namespace itk
{
// Computes the foreground constant and background constant value. For the Dense
// image filter, this is called prior to the start of every iteration. For the
// sparse filter, this is only called one during initialization.
template< typename TInputImage, typename TFeatureImage, typename TSharedData >
void
ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::UpdateSharedDataParameters()
{
  unsigned int fId = this->m_FunctionId;

  if ( this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedNumberOfPixelsInsideLevelSet > vnl_math::eps )
    {
    this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_ForegroundConstantValues =
      this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedSumOfPixelValuesInsideLevelSet
      / this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedNumberOfPixelsInsideLevelSet;
    }
  else
    {
    this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_ForegroundConstantValues = 0;
    }

  if ( this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedNumberOfPixelsOutsideLevelSet > vnl_math::eps )
    {
    this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_BackgroundConstantValues =
      this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedSumOfPixelValuesOutsideLevelSet
      / this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedNumberOfPixelsOutsideLevelSet;
    }
  else
    {
    this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_BackgroundConstantValues = 0;
    }
}

// update the foreground constant for pixel updates
// Called only when sparse filters are used to prevent iteration through the
// entire image
template< typename TInputImage, typename TFeatureImage, typename TSharedData >
void
ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::UpdateSharedDataInsideParameters(const unsigned int & iId,
                                   const FeaturePixelType & iVal, const ScalarValueType & iChange)
{
  // update the foreground constant calculation of the current level-set
  // function
  this->m_SharedData->m_LevelSetDataPointerVector[iId]->m_WeightedNumberOfPixelsInsideLevelSet += iChange;
  this->m_SharedData->m_LevelSetDataPointerVector[iId]->m_WeightedSumOfPixelValuesInsideLevelSet += iVal * iChange;
}

// update the background constant for pixel updates
// Called only when sparse filters are used to prevent iteration through the
// entire image
template< typename TInputImage, typename TFeatureImage, typename TSharedData >
void
ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::UpdateSharedDataOutsideParameters(const unsigned int & iId,
                                    const FeaturePixelType & iVal, const ScalarValueType & iChange)
{
  this->m_SharedData->m_LevelSetDataPointerVector[iId]->m_WeightedNumberOfPixelsOutsideLevelSet += iChange;
  this->m_SharedData->m_LevelSetDataPointerVector[iId]->m_WeightedSumOfPixelValuesOutsideLevelSet += iVal * iChange;
}

/* Calculates the numerator and denominator for c_i for each region. As part of
the optimization, it is called once at the beginning of the code, and then the
cNum and cDen are updated during the evolution without iterating through the
entire image. */
template< typename TInputImage, typename TFeatureImage, typename TSharedData >
void
ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::ComputeParameters()
{
  unsigned int fId = this->m_FunctionId;

  this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedNumberOfPixelsInsideLevelSet = 0;
  this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedSumOfPixelValuesInsideLevelSet = 0;
  this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_ForegroundConstantValues = 0;
  this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedNumberOfPixelsOutsideLevelSet = 0;
  this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedSumOfPixelValuesOutsideLevelSet = 0;
  this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_BackgroundConstantValues = 0;

  ConstFeatureIteratorType fIt( this->m_FeatureImage, this->m_FeatureImage->GetLargestPossibleRegion() );

  FeaturePixelType featureVal;
  FeatureIndexType globalIndex;
  InputIndexType   itInputIndex, inputIndex;
  InputPixelType   hVal;
  ListPixelType    L;

  fIt.GoToBegin();

  while ( !fIt.IsAtEnd() )
    {
    featureVal = fIt.Get();
    inputIndex = fIt.GetIndex();
    InputPixelType prod = 1.;

    globalIndex = this->m_SharedData->m_LevelSetDataPointerVector[fId]->GetFeatureIndex(inputIndex);

    L = this->m_SharedData->m_NearestNeighborListImage->GetPixel(globalIndex);

    for ( ListPixelConstIterator it = L.begin(); it != L.end(); ++it )
      {
      itInputIndex = this->m_SharedData->m_LevelSetDataPointerVector[*it]->GetIndex(globalIndex);
      hVal = this->m_SharedData->m_LevelSetDataPointerVector[*it]->m_HeavisideFunctionOfLevelSetImage->GetPixel(
        itInputIndex);
      prod *= ( 1. - hVal );

      if ( *it == fId )
        {
        this->m_SharedData->m_LevelSetDataPointerVector[*it]->m_WeightedSumOfPixelValuesInsideLevelSet += featureVal
                                                                                                          * hVal;
        this->m_SharedData->m_LevelSetDataPointerVector[*it]->m_WeightedNumberOfPixelsInsideLevelSet += hVal;
        }
      }

    this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedSumOfPixelValuesOutsideLevelSet += featureVal
                                                                                                       * prod;
    this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_WeightedNumberOfPixelsOutsideLevelSet += prod;

    ++fIt;
    }
}

template< typename TInputImage, typename TFeatureImage, typename TSharedData >
typename ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::ScalarValueType
ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >::ComputeInternalTerm(
   const FeaturePixelType & iValue,
  const
  FeatureIndexType & itkNotUsed(iIdx) )
{
  const unsigned int    fId = this->m_FunctionId;
  const ScalarValueType cVals = this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_ForegroundConstantValues;
  const ScalarValueType t = ( iValue - cVals );

  return t * t;
}

template< typename TInputImage, typename TFeatureImage, typename TSharedData >
typename ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::ScalarValueType
ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData >
::ComputeExternalTerm( const FeaturePixelType & iValue,
                       const FeatureIndexType & itkNotUsed(iIdx) )
{
  const unsigned int    fId = this->m_FunctionId;
  const ScalarValueType cBgrnd = this->m_SharedData->m_LevelSetDataPointerVector[fId]->m_BackgroundConstantValues; //
                                                                                                                   // background
  const ScalarValueType t = ( iValue - cBgrnd );

  return t * t;
}
} // end namespace itk
#endif