[Insight-users] itkSampleMeanShiftClusteringFilter.txx

[Eric John]

An HTML attachment was scrubbed...
URL: http://public.kitware.com/pipermail/insight-users/attachments/20060823/46b93a88/attachment.html
-------------- next part --------------
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkSampleMeanShiftClusteringFilter.txx,v $
  Language:  C++
  Date:      $Date: 2005/07/26 15:55:05 $
  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 __itkSampleMeanShiftClusteringFilter_txx
#define __itkSampleMeanShiftClusteringFilter_txx

#include "vnl/vnl_math.h"

namespace itk{
namespace Statistics{

template< class TSample >
SampleMeanShiftClusteringFilter< TSample >
::SampleMeanShiftClusteringFilter()
{
  m_Threshold = 0.5 ;
  m_MinimumClusterSize = 16 ;
}

template< class TSample >
SampleMeanShiftClusteringFilter< TSample >
::~SampleMeanShiftClusteringFilter()
{
}

template< class TSample >
void
SampleMeanShiftClusteringFilter< TSample >
::PrintSelf(std::ostream& os, Indent indent) const
{
  Superclass::PrintSelf(os,indent);

  os << indent << "Threshold: " << m_Threshold << std::endl ;
  os << indent << "Minimum cluster size: " << m_MinimumClusterSize
     << std::endl ;
}

template< class TSample >
void
SampleMeanShiftClusteringFilter< TSample >
::GenerateData()
{
  const TSample* inputSample = this->GetInputSample() ;
  m_Output.clear() ;
  m_Output.resize( inputSample->Size(), 0 ) ;
  int currentLabel = 1 ;
  unsigned long currentClusterSize ;
  SearchResultVectorType queryPoints ;
  SearchResultVectorType queryPoints2 ;
  MeasurementVectorType tempQueryPoint;
  MeasurementVectorType tempPreviousQueryPoint;
  bool searchLoopBegin ;
  SearchResultVectorType tempSearchResult ;
  SearchResultVectorType* currentQueryPoints ;
  SearchResultVectorType* nextQueryPoints ;
  SearchResultVectorType* tempQueryPoints ;
  typename SearchResultVectorType::iterator cp_iter ;
  typename SearchResultVectorType::iterator cp_end ;
  typename SearchResultVectorType::iterator sr_iter ;
  typename SearchResultVectorType::iterator sr_end ;
  typename TSample::ConstIterator iter = inputSample->Begin() ;
  typename TSample::ConstIterator end = inputSample->End() ;

  while ( iter != end )
    {
    if ( m_Output[iter.GetInstanceIdentifier()] == 0 )
      {
      currentClusterSize = 0 ;
      currentQueryPoints = &queryPoints ;
      nextQueryPoints = &queryPoints2 ;
      currentQueryPoints->clear() ;
      nextQueryPoints->clear() ;
      currentQueryPoints->push_back( iter.GetInstanceIdentifier() ) ;
      searchLoopBegin = true ;
      tempPreviousQueryPoint.Fill(0) ;
      while ( currentQueryPoints->size() > 0 )
        {
        cp_iter = currentQueryPoints->begin() ;
        cp_end = currentQueryPoints->end() ;
        while ( cp_iter != cp_end )
          {
          tempQueryPoint = inputSample->GetMeasurementVector( ( *cp_iter) ) 
;

          if ( !searchLoopBegin && tempQueryPoint == tempPreviousQueryPoint 
)
            {
            break ;
            }

          tempSearchResult.clear() ;
          inputSample->Search( tempQueryPoint, m_Threshold,
                               tempSearchResult ) ;

          tempPreviousQueryPoint = tempQueryPoint ;
          if ( searchLoopBegin )
            {
            searchLoopBegin = false ;
            }

          sr_iter = tempSearchResult.begin() ;
          sr_end = tempSearchResult.end() ;
          while ( sr_iter != sr_end )
            {
            if ( m_Output[*sr_iter] == 0 )
              {
              m_Output[*sr_iter] = currentLabel ;
              nextQueryPoints->push_back( *sr_iter ) ;
              ++currentClusterSize ;
              }
            ++sr_iter ;
            } // end of while sr_iter
          ++cp_iter ;
          } // end of cp_iter
        tempQueryPoints = currentQueryPoints ;
        currentQueryPoints = nextQueryPoints ;
        nextQueryPoints = tempQueryPoints ;
        nextQueryPoints->clear() ;
        } // end of while (cp->size())

      if ( currentClusterSize < m_MinimumClusterSize )
        {
        }
      else
        {
        itkDebugMacro(<< "cluster label = " << currentLabel
                      << " cluster size = " << currentClusterSize) ;
        ++currentLabel ;
        }
      } // end of if
    ++iter ;
    }
}


} // end of namespace Statistics
} // end of namespace itk

#endif



-------------- next part --------------
A non-text attachment was scrubbed...
Name: itkSampleMeanShiftClusteringFilter.h
Type: application/octet-stream
Size: 3051 bytes
Desc: not available
Url : http://public.kitware.com/pipermail/insight-users/attachments/20060823/46b93a88/itkSampleMeanShiftClusteringFilter.obj