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itk::Statistics::Sample< TMeasurementVector > Class Template Reference

Sample defines common iterfaces for each subclasses. More...

#include <itkSample.h>

Inheritance diagram for itk::Statistics::Sample:

[legend]Collaboration diagram for itk::Statistics::Sample< TMeasurementVector >:

[legend]List of all members.

Public Types
typedef Sample	Self
typedef Object	Superclass
typedef SmartPointer< Self >	Pointer
typedef TMeasurementVector	MeasurementVectorType
typedef TMeasurementVector::ValueType	MeasurementType
typedef float	FrequencyType
typedef unsigned long	InstanceIdentifier
Public Methods
virtual const char *	GetClassName () const
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, TMeasurementVector::Length)
virtual unsigned int	Size () const=0
virtual MeasurementVectorType	GetMeasurementVector (const InstanceIdentifier &id)=0
virtual FrequencyType	GetFrequency (const InstanceIdentifier &id) const=0
virtual FrequencyType	GetTotalFrequency () const=0
Protected Methods
	Sample ()
virtual	~Sample ()
void	PrintSelf (std::ostream &os, Indent indent) const

Detailed Description

template<class TMeasurementVector>
class itk::Statistics::Sample< TMeasurementVector >

Sample defines common iterfaces for each subclasses.

A measurement vector is a vector of different types of values. For example, users might have an image with each pixel have a gray level intensity value and a gradient magnitude. In this example, user think each pixel as a measurement vector that has two types of values, intensity and gradient magnitude. In this sense, the meaning of "measurement" can be interchaneable with "measurement".

The primary purpose of Sample clases are storing such measurement vectors and providing different types of element access methods.

The "TMeasurement" template argument defines the type of each values in a measurement vector. The "VMeasurementVectorSize" template argument defines the number of elements in a measurement vector. The type of measurement vector is fixed as ITK Point. The resulting measurement vector type is Point< TMeasurement, VMeasurementVectorSize >.

There are two common ways of accessing data. First, users can use an "InstanceIdentifier", say 'id' which is sequential index of measurement vectors to access a measurement vector in a container. Second, users can access a measurement value using dimension and the index of a measurement value, say 'n' in that dimension. The 'id' and 'n' is equal in the ListSample classes. However, in Histogram class, its different. See Histogram. For algorithms using these indexes, there are methods to get the length of each dimension, GetSize() and GetSize(dimension). See each method's comment.

Users may need to know two other groups of methods to fully utilize Sample. One group of methods is about frequency of measurement vectors. In Histogram classes, you can use such methods to get/set the frequency of each measurement vector. The other group of methods is about characteristics of each subclasses of this class. If user want to create or know the characteristics of a subclass, use them. The set of characteristics tell that if the data is sorted (true for Histogram), if the each measurement vector is unique (true for Histogram), and if the container supports "meaningful" frequency interfaces. In ListSample classes, users cannot set frequency, and GetFrequency() methods return one if the element exists, else zero. So, currently ListSample's supporting frequency is set to false.

Definition at line 77 of file itkSample.h.

Member Typedef Documentation

Constructor & Destructor Documentation

template<class TMeasurementVector>

itk::Statistics::Sample< TMeasurementVector >::Sample ( ) [inline, protected]

Definition at line 119 of file itkSample.h.

template<class TMeasurementVector>

virtual itk::Statistics::Sample< TMeasurementVector >::~Sample ( ) [inline, protected, virtual]

Definition at line 120 of file itkSample.h.