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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSampleMeanShiftClusteringFilter.txx,v $
Language: C++
Date: $Date: 2009-03-04 19:29:54 $
Version: $Revision: 1.6 $
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
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