lti::splitImageToGSL Class Reference
[Color Analysis]

Split image in its l1, l2 and l3 components, as described in T. More...

#include <ltiSplitImageToGSL.h>

Inheritance diagram for lti::splitImageToGSL:

[legend]

Collaboration diagram for lti::splitImageToGSL:

[legend]

List of all members.

Public Member Functions
virtual const char *	getTypeName () const
virtual functor *	clone () const
virtual bool	apply (const image &img, channel &l1, channel &l2, channel &l3) const
virtual bool	apply (const image &img, channel8 &l1, channel8 &l2, channel8 &l3) const
virtual bool	apply (const rgbPixel &pixel, float &l1, float &l2, float &l3) const
virtual bool	apply (const rgbPixel &pixel, ubyte &l1, ubyte &l2, ubyte &l3) const
virtual bool	getFirst (const image &img, channel &l1) const
virtual bool	getFirst (const image &img, channel8 &l1) const
virtual bool	getSecond (const image &img, channel &l2) const
virtual bool	getSecond (const image &img, channel8 &l2) const
virtual bool	getThird (const image &img, channel &l3) const
virtual bool	getThird (const image &img, channel8 &l3) const

Detailed Description

Split image in its l1, l2 and l3 components, as described in T.

Gevers and A. Smeulders "Color-based object recognition" Pattern Recognition, Vol. 32, 1999, pp. 453-464.

This color space is appropriate when trying to detect only material changes, but ignoring shadow, shape or highlight edges.

The channels are defined as follows:

$\begin{aligned} l_1 &= \frac{|R-G|}{|R-G| + |R-B| + |G-B|}\\ l_2 &= \frac{|R-B|}{|R-G| + |R-B| + |G-B|}\\ l_3 &= \frac{|G-B|}{|R-G| + |R-B| + |G-B|} \end{aligned}$

There is no merge functor for this split method.

Member Function Documentation

virtual bool lti::splitImageToGSL::apply	(	const rgbPixel &	pixel,
		ubyte &	l1,
		ubyte &	l2,
		ubyte &	l3
	)			const `[virtual]`

split the pixel in red green and blue values.

The values of each pixel will be between 0 and 255

Parameters:

	pixel	the pixel to be splitted
	l1	first channel
	l2	second channel
	l3	third channel

Implements lti::splitImage.

virtual bool lti::splitImageToGSL::apply	(	const rgbPixel &	pixel,
		float &	l1,
		float &	l2,
		float &	l3
	)			const `[virtual]`

split the pixel in red green and blue values.

The values of each pixel will be between 0.0f and 1.0f

Parameters:

	pixel	the pixel to be splitted
	l1	first channel
	l2	second channel
	l3	third channel

Implements lti::splitImage.

virtual bool lti::splitImageToGSL::apply	(	const image &	img,
		channel8 &	l1,
		channel8 &	l2,
		channel8 &	l3
	)			const `[virtual]`

split the image in red green and blue channels.

The values of each pixel will be between 0 and 255

Parameters:

	img	the image to be splitted
	l1	first channel
	l2	second channel
	l3	third channel

Implements lti::splitImage.

virtual bool lti::splitImageToGSL::apply	(	const image &	img,
		channel &	l1,
		channel &	l2,
		channel &	l3
	)			const `[virtual]`

split the image in red green and blue channels.

The values of each pixel will be between 0.0f and 1.0f

Parameters:

	img	the image to be splitted
	l1	first channel
	l2	second channel
	l3	third channel

Implements lti::splitImage.

virtual functor* lti::splitImageToGSL::clone ( ) const [virtual]

returns a pointer to a clone of the functor.

Implements lti::functor.

virtual bool lti::splitImageToGSL::getFirst	(	const image &	img,
		channel8 &	l1
	)			const `[virtual]`

Returns the first of the three channels into which the image is split.