itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage > Class Template Reference

Combines several segmentations/shapes into an average shape according to the Shaped-Based Averaging, Rohlfing and Maurer, TMI, Jan 2007. More...

Inheritance diagram for itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >:

Public Types
enum	MeanModeType { MEAN = 0, MEDIAN = 1, INTERQUARTILE_MEAN = 2, CORRECT_INTERQUARTILE_MEAN = 3 }
typedef ShapeBasedAveragingImageFilter	Self
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Image< float, TInputImage::ImageDimension >	FloatImageType
typedef FloatImageType	AverageDistanceMapType

Public Member Functions
virtual const char *	GetClassName () const
void	UnsetLabelForUndecidedPixels ()
void	SetLabelForUndecidedPixels (typename TOutputImage::PixelType value)
virtual void	SetMeanMode (MeanModeType _arg)
const FloatImageType *	GetAverageDistanceMap () const
const FloatImageType *	GetVariabilityMap () const
const FloatImageType *	GetProbabilityMap () const
FloatImageType *	GetProbabilityMap ()
void	ComputeMRF (FloatImageType *probabilityMap, double mrf, int numberOfIterations)

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	ShapeBasedAveragingImageFilter ()
virtual	~ShapeBasedAveragingImageFilter ()
void	GenerateData ()
void	CalculateReliability ()
double	CalculateVariance (typename AverageDistanceMapType::Pointer averageDistanceMap)

Protected Attributes
bool	m_IsUserDefinedLabelForUndecidedPixels
TOutputImage::PixelType	m_LabelForUndecidedPixels
int	m_MeanMode
std::vector< double >	m_SegmentationReliability
FloatImageType::Pointer	m_AverageDistanceMap
FloatImageType::Pointer	m_VariabilityMap
FloatImageType::Pointer	m_ProbabilityMap

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >

Combines several segmentations/shapes into an average shape according to the Shaped-Based Averaging, Rohlfing and Maurer, TMI, Jan 2007.

Member Typedef Documentation

template<class TInputImage , class TOutputImage >

typedef FloatImageType itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::AverageDistanceMapType

template<class TInputImage , class TOutputImage >

typedef SmartPointer<const Self> itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::ConstPointer

template<class TInputImage , class TOutputImage >

typedef Image<float, TInputImage::ImageDimension> itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::FloatImageType

More typedefs.

template<class TInputImage , class TOutputImage >

typedef SmartPointer<Self> itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::Pointer

template<class TInputImage , class TOutputImage >

typedef ShapeBasedAveragingImageFilter itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::Self

House keeping for the object factory.

template<class TInputImage , class TOutputImage >

typedef ImageToImageFilter<TInputImage,TOutputImage> itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::Superclass

Member Enumeration Documentation

template<class TInputImage , class TOutputImage >

enum itk::ShapeBasedAveragingImageFilter::MeanModeType

Mean mode types.

Enumerator
MEAN
MEDIAN
INTERQUARTILE_MEAN
CORRECT_INTERQUARTILE_MEAN

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >

itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::ShapeBasedAveragingImageFilter ( )

inlineprotected

Constructor.

template<class TInputImage , class TOutputImage >

virtual itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::~ShapeBasedAveragingImageFilter ( )

inlineprotectedvirtual

Destructor.

Member Function Documentation

template<class TInputImage , class TOutputImage >

void itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::CalculateReliability ( )

protected

Reliability of the input segmentation.

template<class TInputImage , class TOutputImage >

double itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::CalculateVariance ( typename AverageDistanceMapType::Pointer  averageDistanceMap )

protected

Variance of the distance map.

template<class TInputImage , class TOutputImage >

void itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::ComputeMRF	(	FloatImageType *	probabilityMap,
		double	mrf,
		int	numberOfIterations
	)

Compute MRF.

template<class TInputImage , class TOutputImage >

void itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::GenerateData ( )

protected

Do the dirty work.

template<class TInputImage , class TOutputImage >

const FloatImageType* itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::GetAverageDistanceMap ( ) const

inline

Get the average distance map.

template<class TInputImage , class TOutputImage >

virtual const char* itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::GetClassName ( ) const

virtual

Runtime information support.

template<class TInputImage , class TOutputImage >

const FloatImageType* itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::GetProbabilityMap ( ) const

inline

Get the probability map.

template<class TInputImage , class TOutputImage >

FloatImageType* itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::GetProbabilityMap ( )

inline

template<class TInputImage , class TOutputImage >

const FloatImageType* itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::GetVariabilityMap ( ) const

inline

Get the variability map.

template<class TInputImage , class TOutputImage >

static Pointer itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

template<class TInputImage , class TOutputImage >

void itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::SetLabelForUndecidedPixels ( typename TOutputImage::PixelType  value )

inline

Set the label for undecided pixels. By default, the label used for undecided pixels is the maximum label value used in the input images plus one.

template<class TInputImage , class TOutputImage >

virtual void itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::SetMeanMode ( MeanModeType  _arg )

virtual

Set mean mode.

template<class TInputImage , class TOutputImage >

void itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::UnsetLabelForUndecidedPixels ( )

inline

Unset label for undecided pixels.

Member Data Documentation

template<class TInputImage , class TOutputImage >

FloatImageType::Pointer itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::m_AverageDistanceMap

protected

The average distance and minimum distance map.

template<class TInputImage , class TOutputImage >

bool itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::m_IsUserDefinedLabelForUndecidedPixels

protected

The number of labels we have.

template<class TInputImage , class TOutputImage >

TOutputImage::PixelType itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::m_LabelForUndecidedPixels

protected

Label for undicided pixels.

template<class TInputImage , class TOutputImage >

int itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::m_MeanMode

protected

Option to use mean, median or interquartile mean.

template<class TInputImage , class TOutputImage >

FloatImageType::Pointer itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::m_ProbabilityMap

protected

The unnormalised probability map.

template<class TInputImage , class TOutputImage >

std::vector<double> itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::m_SegmentationReliability

protected

Input segmentation reliability.

template<class TInputImage , class TOutputImage >

FloatImageType::Pointer itk::ShapeBasedAveragingImageFilter< TInputImage, TOutputImage >::m_VariabilityMap

protected

The variability of the distance.

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The documentation for this class was generated from the following file:

• itkShapeBasedAveragingImageFilter.h