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/*=========================================================================
Program: Advanced Normalization Tools
Module: $RCSfile: itkManifoldParzenWindowsPointSetFunction.h,v $
Language: C++
Date: $Date: 2008/11/15 23:46:06 $
Version: $Revision: 1.16 $
Copyright (c) ConsortiumOfANTS. All rights reserved.
See accompanying COPYING.txt or
http://sourceforge.net/projects/advants/files/ANTS/ANTSCopyright.txt 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 __itkManifoldParzenWindowsPointSetFunction_h
#define __itkManifoldParzenWindowsPointSetFunction_h
#include "itkPointSetFunction.h"
#include "itkGaussianMembershipFunction.h"
#include "itkKdTreeGenerator.h"
#include "itkListSample.h"
#include "itkMatrix.h"
#include "itkMersenneTwisterRandomVariateGenerator.h"
#include "itkMeshSource.h"
#include "itkPointSet.h"
#include "itkVector.h"
#include "itkWeightedCentroidKdTreeGenerator.h"
#include <vector>
namespace itk
{
/** \class ManifoldParzenWindowsPointSetFunction.h
* \brief point set filter.
*/
template <class TPointSet, class TOutput = double, class TCoordRep = double>
class ManifoldParzenWindowsPointSetFunction
: public PointSetFunction<TPointSet, TOutput, TCoordRep>
{
public:
typedef ManifoldParzenWindowsPointSetFunction Self;
typedef PointSetFunction<TPointSet, TOutput, TCoordRep> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Extract dimension from output image. */
itkStaticConstMacro( Dimension, unsigned int,
TPointSet::PointDimension );
typedef typename Superclass::InputPointSetType InputPointSetType;
typedef typename Superclass::InputPointType InputPointType;
/** Point set typedef support. */
typedef TPointSet PointSetType;
typedef typename PointSetType::PointType PointType;
typedef typename PointSetType
::PointsContainerConstIterator PointsContainerConstIterator;
typedef Vector
<typename PointSetType::CoordRepType,
itkGetStaticConstMacro( Dimension )> MeasurementVectorType;
typedef typename Statistics::ListSample
<MeasurementVectorType> SampleType;
typedef typename Statistics
::WeightedCentroidKdTreeGenerator<SampleType> TreeGeneratorType;
typedef typename TreeGeneratorType::KdTreeType KdTreeType;
typedef typename KdTreeType
::InstanceIdentifierVectorType NeighborhoodIdentifierType;
/** Other typedef */
typedef TOutput RealType;
typedef TOutput OutputType;
typedef typename Statistics
::MersenneTwisterRandomVariateGenerator RandomizerType;
typedef typename Statistics::
GaussianMembershipFunction
<MeasurementVectorType> GaussianType;
typedef std::vector<typename GaussianType::Pointer> GaussianContainerType;
typedef typename GaussianType::MatrixType CovarianceMatrixType;
/** Helper functions */
itkSetMacro( CovarianceKNeighborhood, unsigned int );
itkGetConstMacro( CovarianceKNeighborhood, unsigned int );
itkSetMacro( EvaluationKNeighborhood, unsigned int );
itkGetConstMacro( EvaluationKNeighborhood, unsigned int );
itkSetMacro( RegularizationSigma, RealType );
itkGetConstMacro( RegularizationSigma, RealType );
itkSetMacro( KernelSigma, RealType );
itkGetConstMacro( KernelSigma, RealType );
itkSetMacro( BucketSize, unsigned int );
itkGetConstMacro( BucketSize, unsigned int );
itkSetMacro( Normalize, bool );
itkGetConstMacro( Normalize, bool );
itkBooleanMacro( Normalize );
itkSetMacro( UseAnisotropicCovariances, bool );
itkGetConstMacro( UseAnisotropicCovariances, bool );
itkBooleanMacro( UseAnisotropicCovariances );
virtual void SetInputPointSet( const InputPointSetType * ptr );
virtual TOutput Evaluate( const InputPointType& point ) const;
PointType GenerateRandomSample();
typename GaussianType::Pointer GetGaussian( unsigned int i )
{
if( i < this->m_Gaussians.size() )
{
return this->m_Gaussians[i].GetPointer();
}
else
{
return NULL;
}
this->Modified();
}
void SetGaussian( unsigned int i, typename GaussianType::Pointer gaussian )
{
if( i >= this->m_Gaussians.size() )
{
this->m_Gaussians.resize( i + 1 );
}
this->m_Gaussians[i] = gaussian;
this->Modified();
}
void GenerateKdTree();
NeighborhoodIdentifierType GetNeighborhoodIdentifiers(
MeasurementVectorType, unsigned int );
NeighborhoodIdentifierType GetNeighborhoodIdentifiers(
InputPointType, unsigned int );
protected:
ManifoldParzenWindowsPointSetFunction();
virtual ~ManifoldParzenWindowsPointSetFunction();
void PrintSelf( std::ostream& os, Indent indent ) const;
void GenerateData();
private:
// purposely not implemented
ManifoldParzenWindowsPointSetFunction( const Self & );
void operator=( const Self & );
unsigned int m_CovarianceKNeighborhood;
unsigned int m_EvaluationKNeighborhood;
unsigned int m_BucketSize;
RealType m_RegularizationSigma;
RealType m_KernelSigma;
typename TreeGeneratorType::Pointer m_KdTreeGenerator;
typename SampleType::Pointer m_SamplePoints;
typename RandomizerType::Pointer m_Randomizer;
GaussianContainerType m_Gaussians;
bool m_Normalize;
bool m_UseAnisotropicCovariances;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkManifoldParzenWindowsPointSetFunction.hxx"
#endif
#endif
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