lti::optimalThresholding Class Reference

Threshold segmentation of a single channel with the optimal threshold value. More...

#include <ltiOptimalThresholding.h>

Inheritance diagram for lti::optimalThresholding:

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Collaboration diagram for lti::optimalThresholding:

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List of all members.

Classes
class	parameters
	the parameters for the class optimalThresholding More...
Public Member Functions
	optimalThresholding ()
	optimalThresholding (const optimalThresholding &other)
virtual	~optimalThresholding ()
virtual const char *	getTypeName () const
bool	apply (channel &srcdest)
bool	apply (channel8 &srcdest)
bool	apply (const channel &src, channel &dest)
bool	apply (const channel8 &src, channel8 &dest)
optimalThresholding &	copy (const optimalThresholding &other)
virtual functor *	clone () const
const parameters &	getParameters () const
float	getThreshold (const channel &src) const
int	getThreshold (const channel8 &src) const
int	getThreshold (const vector< float > &histo) const
int	getThreshold (const vector< double > &histo) const
int	getThreshold (const vector< int > &histo) const

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Detailed Description

Threshold segmentation of a single channel with the optimal threshold value.

The optimal threshold value is calculated iteratively according to Sonky, Hlavac, Boyle: "Image Processing, Analysis and Machine Vision", p.129)

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Constructor & Destructor Documentation

lti::optimalThresholding::optimalThresholding

(

)

default constructor

lti::optimalThresholding::optimalThresholding

(

const optimalThresholding &

other

)

copy constructor

Parameters:

other

the object to be copied

virtual lti::optimalThresholding::~optimalThresholding

(

)

[virtual]

destructor

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Member Function Documentation

bool lti::optimalThresholding::apply	(	const channel8 &	src,
		channel8 &	dest
	)

segmentate the channel src, and leave the result in dest.

lowThreshold is set to the optimal threshold value, highThreshold is set to 1.0 and thresholding is applied

Parameters:

	src	channel8 with the source data.
	dest	channel8 where the segmentated data will be left.

Returns:

true if apply successful or false otherwise

bool lti::optimalThresholding::apply	(	const channel &	src,
		channel &	dest
	)

segmentate the channel src, and leave the result in dest lowThreshold is set to the optimal threshold value, highThreshold is set to 1.0 and thresholding is applied

Parameters:

	src	channel8 with the source data.
	dest	The segmentated data will be left here.

Returns:

true if apply successful or false otherwise

bool lti::optimalThresholding::apply

(

channel8 &

srcdest

)

segmentates a channel on place lowThreshold is set to the optimal threshold value, highThreshold is set to 1.0 and thresholding is applied

Parameters:

srcdest

channel8 with the source data. The result will be left here too.

Returns:

true if apply successful or false otherwise

bool lti::optimalThresholding::apply

(

channel &

srcdest

)

segmentates a channel on place lowThreshold is set to the optimal threshold value, highThreshold is set to 1.0 and thresholding is applied

Parameters:

srcdest

channel with the source data. The result will be left here too.

Returns:

true if apply successful or false otherwise

virtual functor* lti::optimalThresholding::clone

(

)

const [virtual]

returns a pointer to a clone of this functor.

Reimplemented from lti::thresholding.

optimalThresholding& lti::optimalThresholding::copy

(

const optimalThresholding &

other

)

copy data of "other" functor.

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

Reimplemented from lti::thresholding.

const parameters& lti::optimalThresholding::getParameters

(

)

const

returns used parameters

Reimplemented from lti::thresholding.

int lti::optimalThresholding::getThreshold

(

const vector< int > &

histo

)

const

calculates the optimal thresholding value for the given histogram

Parameters:

histo

the vector containing a 1D histogram

Returns:

the index in the histogram which corresponds to the optimal threshold.

int lti::optimalThresholding::getThreshold

(

const vector< double > &

histo

)

const

calculates the optimal thresholding value for the given histogram

Parameters:

histo

the vector containing a 1D histogram

Returns:

the index in the histogram which corresponds to the optimal threshold.

int lti::optimalThresholding::getThreshold

(

const vector< float > &

histo

)

const

calculates the optimal thresholding value for the given histogram

Parameters:

histo

the vector containing a 1D histogram

Returns:

the index in the histogram which corresponds to the optimal threshold.

int lti::optimalThresholding::getThreshold

(

const channel8 &

src

)

const

calculates the optimal thresholding value for a given channel

float lti::optimalThresholding::getThreshold

(

const channel &

src

)

const

calculates the optimal thresholding value for a given channel

virtual const char* lti::optimalThresholding::getTypeName

(

)

const [virtual]

returns the name of this type ("optimalThresholding")

Reimplemented from lti::thresholding.

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

• ltiOptimalThresholding.h