mlSimilarIntensitiesClusterAlgorithm.h

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/*************************************************************************************
**
** Copyright 2007, MeVis Medical Solutions AG
**
** The user may use this file in accordance with the license agreement provided with
** the Software or, alternatively, in accordance with the terms contained in a
** written agreement between the user and MeVis Medical Solutions AG.
**
** For further information use the contact form at https://www.mevislab.de/contact
**
**************************************************************************************/
 
#ifndef ML_SIMILAR_INTENSITIES_CLUSTER_ALGORITHM_H
#define ML_SIMILAR_INTENSITIES_CLUSTER_ALGORITHM_H
 
#include "mlClusterAlgorithm.h"
 
 
ML_START_NAMESPACE
 

template <typename DATATYPE>
class SimilarIntensitiesClusterAlgorithm : public ClusterAlgorithm<DATATYPE, SimilarIntensitiesClusterAlgorithm <DATATYPE> >
{
public:
 
  SimilarIntensitiesClusterAlgorithm(const ComputeClusterParameters& parameters, Clusters* clusters) :
    ClusterAlgorithm<DATATYPE, SimilarIntensitiesClusterAlgorithm <DATATYPE> >(parameters, clusters)
  {
  }

  ML_FORCE_INLINE static DATATYPE getVoxel(void* position)
  {
    return *static_cast<DATATYPE*>(position);
  }
 
  ML_FORCE_INLINE static MLdouble getVoxelAsDouble(void*)
  {
    return 0;
  }
 
  //-----------------------------------------------------------------------------------------------
  //-----------------------------------------------------------------------------------------------
  ML_FORCE_INLINE bool isInTolerance(DATATYPE neighborValue, DATATYPE currentValue)
  {
    // intensity difference
    const DATATYPE intensityDifference = (currentValue>neighborValue) ? (currentValue - neighborValue) : (neighborValue - currentValue);
    const bool isInToleranceFlag = (intensityDifference <= this->_parameters.similarityToleranceIntensities);
    return isInToleranceFlag;
  }
};
 
 
ML_END_NAMESPACE
 
 
#endif