Extension of the itkLabelStatisticsImageFilter that also calculates the Skewness,Kurtosis,Entropy,Uniformity. More...

#include <mitkExtendedLabelStatisticsImageFilter.h>

Inheritance diagram for itk::ExtendedLabelStatisticsImageFilter< TInputImage, TLabelImage >:

Collaboration diagram for itk::ExtendedLabelStatisticsImageFilter< TInputImage, TLabelImage >:

Classes
class	CoefficientsClass
	Internal class which stores the calculated coefficients Skewness,Kurtosis,Uniformity,UPP,MPP,Entropy. More...

class	LabelStatistics
	Statistics stored per label. More...

Public Types
typedef ExtendedLabelStatisticsImageFilter	Self

typedef LabelStatisticsImageFilter< TInputImage, TLabelImage >	Superclass

typedef SmartPointer< Self >	Pointer

typedef SmartPointer< const Self >	ConstPointer

typedef Superclass::LabelPixelType	LabelPixelType

typedef Superclass::RealType	RealType

typedef Superclass::PixelType	PixelType

typedef Superclass::MapIterator	MapIterator

typedef Superclass::BoundingBoxType	BoundingBoxType

typedef Superclass::RegionType	RegionType

typedef itk::Statistics::Histogram< double >	HistogramType

typedef itksys::hash_map< LabelPixelType, LabelStatistics >	MapType

typedef itksys::hash_map< LabelPixelType, LabelStatistics >::const_iterator	StatisticsMapConstIterator

typedef itksys::hash_map< LabelPixelType, LabelStatistics >::iterator	StatisticsMapIterator

typedef IdentifierType	MapSizeType

typedef std::vector< LabelPixelType >	ValidLabelValuesContainerType

typedef ExtendedLabelStatisticsImageFilter	Self

typedef LabelStatisticsImageFilter< TInputImage, TLabelImage >	Superclass

typedef SmartPointer< Self >	Pointer

typedef SmartPointer< const Self >	ConstPointer

typedef Superclass::LabelPixelType	LabelPixelType

typedef Superclass::RealType	RealType

typedef Superclass::PixelType	PixelType

typedef Superclass::MapIterator	MapIterator

typedef itk::Statistics::Histogram< double >	HistogramType

Public Member Functions
Pointer	Clone () const

virtual const char *	GetClassName () const

RealType	GetMinimum (LabelPixelType label) const

RealType	GetMaximum (LabelPixelType label) const

RealType	GetMean (LabelPixelType label) const

RealType	GetSigma (LabelPixelType label) const

RealType	GetVariance (LabelPixelType label) const

BoundingBoxType	GetBoundingBox (LabelPixelType label) const

RegionType	GetRegion (LabelPixelType label) const

RealType	GetSum (LabelPixelType label) const

MapSizeType	GetCount (LabelPixelType label) const

HistogramType::Pointer	GetHistogram (LabelPixelType label) const

RealType	GetSkewness (LabelPixelType label) const

RealType	GetKurtosis (LabelPixelType label) const

RealType	GetUniformity (LabelPixelType label) const

RealType	GetMedian (LabelPixelType label) const

RealType	GetEntropy (LabelPixelType label) const

RealType	GetMPP (LabelPixelType label) const

RealType	GetUPP (LabelPixelType label) const

bool	GetMaskingNonEmpty () const

std::list< int >	GetRelevantLabels () const

void	SetHistogramParameters (const int numBins, RealType lowerBound, RealType upperBound)

void	SetHistogramParametersForLabels (std::map< LabelPixelType, unsigned int > numBins, std::map< LabelPixelType, PixelType > lowerBound, std::map< LabelPixelType, PixelType > upperBound)

Pointer	Clone () const

virtual const char *	GetClassName () const

RealType	GetSkewness (LabelPixelType label) const

RealType	GetKurtosis (LabelPixelType label) const

RealType	GetUniformity (LabelPixelType label) const

RealType	GetEntropy (LabelPixelType label) const

RealType	GetMPP (LabelPixelType label) const

RealType	GetUPP (LabelPixelType label) const

std::list< int >	GetRelevantLabels () const

bool	GetMaskingNonEmpty () const

Static Public Member Functions
static Pointer	New ()

static Pointer	New ()

Protected Types
typedef std::map< LabelPixelType, CoefficientsClass >	CoefficientsMap

typedef CoefficientsMap::const_iterator	CoefficientsMapConstIterator

Protected Member Functions
	ExtendedLabelStatisticsImageFilter ()

virtual	~ExtendedLabelStatisticsImageFilter ()

void	AfterThreadedGenerateData ()

void	BeforeThreadedGenerateData ()

void	ThreadedGenerateData (const typename TInputImage::RegionType &outputRegionForThread, ThreadIdType threadId)

bool	HasLabel (LabelPixelType label) const

	ExtendedLabelStatisticsImageFilter ()

virtual	~ExtendedLabelStatisticsImageFilter ()

void	ComputeSkewnessKurtosisAndMPP ()
	ComputeSkewnessKurtosisAndMPP(),ComputeEntropyUniformityAndUPP() will be called after superclass both methods are seprated because one is build up on the pixel values and one is build up a step after on a histogram. More...

void	AfterThreadedGenerateData ()

void	ComputeEntropyUniformityAndUPP ()

void	CalculateSettingsForLabels ()

Detailed Description

template<class TInputImage, class TLabelImage>
class itk::ExtendedLabelStatisticsImageFilter< TInputImage, TLabelImage >

Extension of the itkLabelStatisticsImageFilter that also calculates the Skewness,Kurtosis,Entropy,Uniformity.

This class inherits from the itkLabelStatisticsImageFilter and uses its results for the calculation of seven additional coefficients: the Skewness, Kurtosis, Uniformity, UPP, MPP, Entropy and Median

This class inherits from the itkLabelStatisticsImageFilter and uses its results for the calculation of six additional coefficients: the Skewness,Kurtosis,Uniformity,UPP,MPP,Entropy

As these coefficient are based on the mean and the sigma which are both calculated by the LabelStatisticsImageFilter, the method AfterThreadedGenerateData() is overwritten and calls ComputeSkewnessKurtosisAndMPP() and ComputeEntropyUniformityAndUPP after the AfterThreadedGenerateData() while the second coefficient Method is only called when the the method useHistogram is on!!! implementation of the superclass is called.

Definition at line 34 of file mitkExtendedLabelStatisticsImageFilter.h.