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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMeanShiftModeSeekerBase.h,v $
Language: C++
Date: $Date: 2009-03-04 15:24:01 $
Version: $Revision: 1.10 $
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 __itkMeanShiftModeSeekerBase_h
#define __itkMeanShiftModeSeekerBase_h
#include "itkObject.h"
#include "itkVector.h"
#include "itkMatrix.h"
#include "itkNumericTraits.h"
#include "itkMeanShiftModeCacheMethod.h"
namespace itk {
namespace Statistics {
/** \class MeanShiftModeSeekerBase
* \brief Evolves the mode. This is the base class for any mean shift
* mode seeking algorithm classes.
*
* Any subclass of this class should implement the ComputeMode
* method. That is the only one requirement. To use this class, user
* should plug in the input sample using SetInputSample, then call
* Evolve function with a measurement vector (query point).
*
* There are some operational options. Users can set a cache method to
* accelates the evolving process. If the cache method already has a
* pair of a query point and its new mode point, the ComputeMode uses
* the cached value insteady recalculating the mode. By setting the
* maximum iteration number (SetMaximumIteration method), when the
* evolving process exceedes, the process will stop and return the
* current mode point as the result. With this option turned off (by
* setting it to 0 or leave it alone after instantiating this class), the
* evolving process runs until it converges.
*
* <b>Recent API changes:</b>
* The static const macro to get the length of a measurement vector,
* \c MeasurementVectorSize has been removed to allow the length of a measurement
* vector to be specified at run time. It is now obtained at run time from the
* sample set as input.
*
* \sa MeanShiftModeCacheMethod, SampleMeanShiftBlurringFilter,
* SampleSelectiveMeanShiftBlurringFilter, SampleMeanShiftClusteringFilter
*/
template< class TSample >
class MeanShiftModeSeekerBase :
public Object
{
public:
/** Standard class typedefs. */
typedef MeanShiftModeSeekerBase Self;
typedef Object Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Standard Macros */
itkTypeMacro(MeanShiftModeSeekerBase, Object);
/** Typedefs from the TSample template argument */
typedef typename TSample::MeasurementVectorType MeasurementVectorType;
typedef typename TSample::MeasurementVectorSizeType MeasurementVectorSizeType;
typedef typename TSample::MeasurementType MeasurementType;
typedef typename TSample::InstanceIdentifier InstanceIdentifier;
typedef std::vector< InstanceIdentifier > SearchResultVectorType;
typedef MeanShiftModeCacheMethod< MeasurementVectorType > CacheMethodType;
void SetInputSample(const TSample* sample);
const TSample* GetInputSample() const
{ return m_InputSample.GetPointer(); }
void SetMaximumIteration(unsigned int number)
{ m_MaximumIteration = number; }
unsigned int GetMaximumIteration()
{ return m_MaximumIteration; }
void SetCacheMethod(CacheMethodType* method);
CacheMethodType* GetCacheMethod()
{ return m_CacheMethod.GetPointer(); }
/** Returns the covariance matrix of the target sample data */
MeasurementVectorType Evolve(MeasurementVectorType instance);
/** Get the length of a measurement vector */
virtual MeasurementVectorSizeType GetMeasurementVectorSize() const
{
if( m_InputSample.GetPointer() )
{
return m_InputSample.GetPointer()->GetMeasurementVectorSize();
}
else
{
return 0;
}
}
protected:
MeanShiftModeSeekerBase();
virtual ~MeanShiftModeSeekerBase();
void PrintSelf(std::ostream& os, Indent indent) const;
virtual bool ComputeMode(MeasurementVectorType queryPoint,
MeasurementVectorType& newPoint) = 0;
private:
typename TSample::ConstPointer m_InputSample;
unsigned int m_MaximumIteration;
typename CacheMethodType::Pointer m_CacheMethod;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanShiftModeSeekerBase.txx"
#endif
#endif
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