lti::channelStatistics Class Reference

This functor splits an image into three channels of a color space set in the parameters (see parameters::setSplitter() ). More...

#include <ltiChannelStatistics.h>

Inheritance diagram for lti::channelStatistics:

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Collaboration diagram for lti::channelStatistics:

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List of all members.

Classes
class	parameters
	the parameters for the class channelStatistics More...
Public Member Functions
	channelStatistics ()
	channelStatistics (const channelStatistics &other)
virtual	~channelStatistics ()
virtual const char *	getTypeName () const
bool	apply (const image &src, const areaPoints &obj, dvector &dest) const
bool	apply (const image &src, dvector &dest) const
channelStatistics &	copy (const channelStatistics &other)
channelStatistics &	operator= (const channelStatistics &other)
virtual functor *	clone () const
const parameters &	getParameters () const
Protected Member Functions
bool	getMin (const channel &ch, const areaPoints &obj, double &dest) const
bool	getMax (const channel &ch, const areaPoints &obj, double &dest) const
bool	getAverage (const channel &ch, const areaPoints &obj, double &dest) const
bool	getGaussian (const channel &ch, const areaPoints &obj, double &m, double &v) const
bool	getMedian (const channel &ch, const areaPoints &obj, double &dest) const
bool	getMin (const channel &ch, const channel8 &mask, double &dest) const
bool	getMax (const channel &ch, const channel8 &mask, double &dest) const
bool	getAverage (const channel &ch, const channel8 &mask, double &dest) const
bool	getGaussian (const channel &ch, const channel8 &mask, double &m, double &v) const
bool	getMedian (const channel &ch, const channel8 &mask, double &dest) const

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Detailed Description

This functor splits an image into three channels of a color space set in the parameters (see parameters::setSplitter() ).

From these channels it then calculates the Minimum, Maximum, Average, Median or Average and Variance over their values, depending on the parameter type.

It is possible to define a "transparent color" which will be ignored by the calculation.

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Constructor & Destructor Documentation

lti::channelStatistics::channelStatistics

(

)

default constructor

lti::channelStatistics::channelStatistics

(

const channelStatistics &

other

)

copy constructor

Parameters:

other

the object to be copied

virtual lti::channelStatistics::~channelStatistics

(

)

[virtual]

destructor

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Member Function Documentation

bool lti::channelStatistics::apply	(	const image &	src,
		dvector &	dest
	)			const [virtual]

Calculates statics for each channel of the given image.

The kind of channels used depends on the parameter splitter which is a pointer of splitImage. Points which have the color param.ignoreColor are ignored.

Parameters:

	src	image for feature extraction.
	dest	the feature vector

Returns:

true if apply successful or false otherwise.

Reimplemented from lti::globalFeatureExtractor.

bool lti::channelStatistics::apply	(	const image &	src,
		const areaPoints &	obj,
		dvector &	dest
	)			const

Calculates statics for each channel of the part of the given image indicated by the areaPoints.

The kind of channels used depends on the parameter splitter which is a pointer of splitImage. The different statistics are chosen through the parameter type:

Minimum	Minimum of each channel	3 dimensions
Maximum	Maximum of each channel	3 dimensions
Average	Average value of each channel	3 dimensions
Gaussian	First the mean values of each channel	6 dimensions		then the variances
Median	Median value of each channel	3 dimensions

Parameters:

	src	image for feature extraction.
	obj	area of the image that contains the object
	dest	the feature vector

Returns:

true if apply successful or false otherwise.

virtual functor* lti::channelStatistics::clone

(

)

const [virtual]

returns a pointer to a clone of this functor.

Reimplemented from lti::globalFeatureExtractor.

channelStatistics& lti::channelStatistics::copy

(

const channelStatistics &

other

)

copy data of "other" functor.

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

Reimplemented from lti::globalFeatureExtractor.

bool lti::channelStatistics::getAverage	(	const channel &	ch,
		const channel8 &	mask,
		double &	dest
	)			const [protected]

Calculates the average value of the points of the given channel for which the mask entry is true.

Parameters:

	ch	channel to be evaluated
	mask	flag mask which tells for each point if it should be included in the statistics.
	dest	the minimum value

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getAverage	(	const channel &	ch,
		const areaPoints &	obj,
		double &	dest
	)			const [protected]

Calculates the average value of the points in obj of the given channel .

Parameters:

	ch	channel to be evaluated
	obj	list of points belonging to the object
	dest	the average value

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getGaussian	(	const channel &	ch,
		const channel8 &	mask,
		double &	m,
		double &	v
	)			const [protected]

Calculates a gaussian distribution of the points of the given channel for which the mask entry is true.

Parameters:

	ch	channel to be evaluated
	mask	flag mask which tells for each point if it should be included in the statistics.
	m	the mean of the computed distribution
	v	the variance of the computed distribution

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getGaussian	(	const channel &	ch,
		const areaPoints &	obj,
		double &	m,
		double &	v
	)			const [protected]

Calculates the Gaussian, ie the mean and variance, of the points in obj of the given channel .

Parameters:

	ch	channel to be evaluated
	obj	list of points belonging to the object
	m	the mean value
	v	the variance

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getMax	(	const channel &	ch,
		const channel8 &	mask,
		double &	dest
	)			const [protected]

Calculates the maximum value of the points of the given channel for which the mask entry is true.

Parameters:

	ch	channel to be evaluated
	mask	flag mask which tells for each point if it should be included in the statistics.
	dest	the minimum value

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getMax	(	const channel &	ch,
		const areaPoints &	obj,
		double &	dest
	)			const [protected]

Calculates the maximum value of the points in obj of the given channel .

Parameters:

	ch	channel to be evaluated
	obj	list of points belonging to the object
	dest	the maximum value

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getMedian	(	const channel &	ch,
		const channel8 &	mask,
		double &	dest
	)			const [protected]

Calculates the median of the points of the given channel for which the mask entry is true.

Parameters:

	ch	channel to be evaluated
	mask	flag mask which tells for each point if it should be included in the statistics.
	dest	the minimum value

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getMedian	(	const channel &	ch,
		const areaPoints &	obj,
		double &	dest
	)			const [protected]

Calculates the median of all values of the points in obj of the given channel .

Parameters:

	ch	channel to be evaluated
	obj	list of points belonging to the object
	dest	the median of all values

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getMin	(	const channel &	ch,
		const channel8 &	mask,
		double &	dest
	)			const [protected]

Calculates the minimum value of the points of the given channel for which the mask entry is true.

Parameters:

	ch	channel to be evaluated
	mask	flag mask which tells for each point if it should be included in the statistics.
	dest	the minimum value

Returns:

true if apply successful or false otherwise.

bool lti::channelStatistics::getMin	(	const channel &	ch,
		const areaPoints &	obj,
		double &	dest
	)			const [protected]

Calculates the minimum value of the points in obj of the given channel .

Parameters:

	ch	channel to be evaluated
	obj	list of points belonging to the object
	dest	the minimum value

Returns:

true if apply successful or false otherwise.

const parameters& lti::channelStatistics::getParameters

(

)

const

returns used parameters

Reimplemented from lti::globalFeatureExtractor.

virtual const char* lti::channelStatistics::getTypeName

(

)

const [virtual]

returns the name of this type ("channelStatistics")

Reimplemented from lti::globalFeatureExtractor.

channelStatistics& lti::channelStatistics::operator=

(

const channelStatistics &

other

)

alias for copy member

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

Reimplemented from lti::functor.

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

• ltiChannelStatistics.h