lti::statisticsFunctor Class Reference

This is the base class for all kinds of nice statistics functors. More...

#include <ltiStatisticsFunctor.h>

Inheritance diagram for lti::statisticsFunctor:

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Collaboration diagram for lti::statisticsFunctor:

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List of all members.

Classes
class	parameters
	the parameters for the class statisticsFunctor More...
Public Member Functions
	statisticsFunctor ()
	statisticsFunctor (const statisticsFunctor &other)
virtual	~statisticsFunctor ()
virtual const char *	getTypeName () const
statisticsFunctor &	copy (const statisticsFunctor &other)
virtual functor *	clone () const
const parameters &	getParameters () const

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Detailed Description

This is the base class for all kinds of nice statistics functors.

Besides that, it does absolutely nothing.

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Constructor & Destructor Documentation

lti::statisticsFunctor::statisticsFunctor

(

)

default constructor

lti::statisticsFunctor::statisticsFunctor

(

const statisticsFunctor &

other

)

copy constructor

Parameters:

other

the object to be copied

virtual lti::statisticsFunctor::~statisticsFunctor

(

)

[virtual]

destructor

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Member Function Documentation

virtual functor* lti::statisticsFunctor::clone

(

)

const [virtual]

returns a pointer to a clone of this functor.

Implements lti::functor.

Reimplemented in lti::chrominanceMapEstimator, lti::chrominanceModelEstimator, lti::colorModelEstimator, lti::kullbackContrast, lti::boundsFunctor< T >, lti::entropyFunctor< T >, lti::gaussianMixtureModel< T >, lti::meansFunctor< T >, lti::serialStatsExtFunctor< T, U >, lti::serialStatsFunctor< T, U >, lti::serialVectorStats< T >, lti::varianceFunctor< T >, lti::boundsFunctor< int >, and lti::serialStatsFunctor< double >.

statisticsFunctor& lti::statisticsFunctor::copy

(

const statisticsFunctor &

other

)

copy data of "other" functor.

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

Reimplemented from lti::functor.

Reimplemented in lti::chrominanceMapEstimator, lti::chrominanceModelEstimator, lti::colorModelEstimator, lti::kullbackContrast, lti::boundsFunctor< T >, lti::entropyFunctor< T >, lti::gaussianMixtureModel< T >, lti::meansFunctor< T >, lti::serialStatsExtFunctor< T, U >, lti::serialStatsFunctor< T, U >, lti::serialVectorStats< T >, and lti::varianceFunctor< T >.

const parameters& lti::statisticsFunctor::getParameters

(

)

const

returns used parameters

Reimplemented from lti::functor.

Reimplemented in lti::chrominanceMapEstimator, lti::chrominanceModelEstimator, lti::colorModelEstimator, lti::kullbackContrast, lti::boundsFunctor< T >, lti::entropyFunctor< T >, lti::gaussianMixtureModel< T >, lti::meansFunctor< T >, lti::serialStatsExtFunctor< T, U >, lti::serialStatsFunctor< T, U >, lti::serialVectorStats< T >, lti::varianceFunctor< T >, lti::boundsFunctor< int >, and lti::serialStatsFunctor< double >.

virtual const char* lti::statisticsFunctor::getTypeName

(

)

const [virtual]

returns the name of this type ("statisticsFunctor")

Reimplemented from lti::functor.

Reimplemented in lti::chrominanceMapEstimator, lti::chrominanceModelEstimator, lti::colorModelEstimator, lti::kullbackContrast, lti::boundsFunctor< T >, lti::entropyFunctor< T >, lti::gaussianMixtureModel< T >, lti::meansFunctor< T >, lti::serialStatsExtFunctor< T, U >, lti::serialStatsFunctor< T, U >, lti::serialVectorStats< T >, lti::varianceFunctor< T >, lti::boundsFunctor< int >, and lti::serialStatsFunctor< double >.

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

• ltiStatisticsFunctor.h