lti::splitImageTorgI Class Reference
[Color Analysis]

Split image in its chromaticity channels. More...

#include <ltiSplitImageTorgI.h>

Inheritance diagram for lti::splitImageTorgI:

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Collaboration diagram for lti::splitImageTorgI:

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List of all members.

Public Member Functions
virtual const char *	getTypeName () const
virtual functor *	clone () const
virtual bool	apply (const image &img, channel &r, channel &g, channel &I) const
virtual bool	apply (const image &img, channel8 &r, channel8 &g, channel8 &I) const
virtual bool	apply (const rgbPixel &pixel, float &r, float &g, float &I) const
virtual bool	apply (const rgbPixel &pixel, ubyte &r, ubyte &g, ubyte &I) const
bool	getR (const image &img, channel &r) const
bool	getR (const image &img, channel8 &r) const
bool	getG (const image &img, channel &g) const
bool	getG (const image &img, channel8 &g) const
bool	getIntensity (const image &img, channel &I) const
bool	getIntensity (const image &img, channel8 &I) const
virtual bool	getFirst (const image &img, channel &c1) const
virtual bool	getFirst (const image &img, channel8 &c1) const
virtual bool	getSecond (const image &img, channel &c2) const
virtual bool	getSecond (const image &img, channel8 &c2) const
virtual bool	getThird (const image &img, channel &c3) const
virtual bool	getThird (const image &img, channel8 &c3) const

Detailed Description

Split image in its chromaticity channels.

The chromaticity channels are defined as follows:

intensity channel $I = \frac{R+G+B}{3}$
chromacity red $r = \frac{R}{R+G+B}$
chromacity green $g = \frac{G}{R+G+B}$

You can get all channels at the same time using apply() or just get one using the shortcut methods getR(), getG() or getIntensity().

Member Function Documentation

virtual bool lti::splitImageTorgI::apply	(	const rgbPixel &	pixel,
		ubyte &	r,
		ubyte &	g,
		ubyte &	I
	)			const `[virtual]`

split the pixel in chromacity values r and g and intensity value.

The values of each pixel will be between 0 and 255

Parameters:

	pixel	the pixel to be splitted
	r	the chromacity value
	g	the chromacity value
	I	the intensity value

Implements lti::splitImage.

virtual bool lti::splitImageTorgI::apply	(	const rgbPixel &	pixel,
		float &	r,
		float &	g,
		float &	I
	)			const `[virtual]`

split the pixel in chromacity values r and g and intensity value.

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

Parameters:

	pixel	the pixel to be splitted
	r	the chromacity value
	g	the chromacity value
	I	the intensity value

Implements lti::splitImage.

virtual bool lti::splitImageTorgI::apply	(	const image &	img,
		channel8 &	r,
		channel8 &	g,
		channel8 &	I
	)			const `[virtual]`

split the image in chromacity channels r and g and intensity channel.

The values of each pixel will be between 0 and 255

Parameters:

	img	the image to be splitted
	r	the chromacity channel
	g	the chromacity channel
	I	the intensity channel

Implements lti::splitImage.

virtual bool lti::splitImageTorgI::apply	(	const image &	img,
		channel &	r,
		channel &	g,
		channel &	I
	)			const `[virtual]`

split the image in chromacity channels r and g and intensity channel.

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

Parameters:

	img	the image to be splitted
	r	the chromacity channel
	g	the chromacity channel
	I	the intensity channel

Implements lti::splitImage.

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

returns a pointer to a clone of the functor.

Implements lti::functor.

virtual bool lti::splitImageTorgI::getFirst	(	const image &	img,
		channel8 &	c1
	)			const `[virtual]`

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

If you need only one channel, this might be faster than calling apply().

Parameters:

	img	the source image
	c1	the extracted channel

Reimplemented from lti::splitImage.

virtual bool lti::splitImageTorgI::getFirst	(	const image &	img,
		channel &	c1
	)			const `[virtual]`

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

If you need only one channel, this might be faster than calling apply().

Parameters:

	img	the source image
	c1	the extracted channel

Reimplemented from lti::splitImage.

bool lti::splitImageTorgI::getG	(	const image &	img,
		channel8 &	g
	)			const

shortcut to get the green channel only The values of each pixel will be between 0 and 255

Parameters:

	img	the image to be splitted
	g	the chromacity green channel

bool lti::splitImageTorgI::getG	(	const image &	img,
		channel &	g
	)			const

shortcut to get the red channel only The values of each pixel will be between 0.0f and 1.0f

Parameters:

	img	the image to be splitted
	g	the chromacity green channel

bool lti::splitImageTorgI::getIntensity	(	const image &	img,
		channel8 &	I
	)			const

shortcut to get the red channel only The values of each pixel will be between 0 and 255

Parameters:

	img	the image to be splitted
	I	the intensity channel

bool lti::splitImageTorgI::getIntensity	(	const image &	img,
		channel &	I
	)			const

shortcut to get the red channel only The values of each pixel will be between 0.0f and 1.0f

Parameters:

	img	the image to be splitted
	I	the intensity channel

bool lti::splitImageTorgI::getR	(	const image &	img,
		channel8 &	r
	)			const

shortcut to get the red channel only The values of each pixel will be between 0 and 255

Parameters:

	img	the image to be splitted
	r	the chromacity red channel

bool lti::splitImageTorgI::getR	(	const image &	img,
		channel &	r
	)			const

shortcut to get the red channel only The values of each pixel will be between 0.0f and 1.0f

Parameters:

	img	the image to be splitted
	r	the chromacity red channel

virtual bool lti::splitImageTorgI::getSecond	(	const image &	img,
		channel8 &	c2
	)			const `[virtual]`

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

If you need only one channel, this might be faster than calling apply().

Parameters:

	img	the source image
	c2	the extracted channel

Reimplemented from lti::splitImage.

virtual bool lti::splitImageTorgI::getSecond	(	const image &	img,
		channel &	c2
	)			const `[virtual]`

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

If you need only one channel, this might be faster than calling apply().

Parameters:

	img	the source image
	c2	the extracted channel

Reimplemented from lti::splitImage.

virtual bool lti::splitImageTorgI::getThird	(	const image &	img,
		channel8 &	c3
	)			const `[virtual]`

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

If you need only one channel, this might be faster than calling apply().

Parameters:

	img	the source image
	c3	the extracted channel

Reimplemented from lti::splitImage.

virtual bool lti::splitImageTorgI::getThird	(	const image &	img,
		channel &	c3
	)			const `[virtual]`

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

If you need only one channel, this might be faster than calling apply().

Parameters:

	img	the source image
	c3	the extracted channel

Reimplemented from lti::splitImage.

virtual const char* lti::splitImageTorgI::getTypeName ( ) const [virtual]

returns the name of this type

Reimplemented from lti::splitImage.

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

ltiSplitImageTorgI.h

lti::splitImageTorgI Class Reference [Color Analysis]

Public Member Functions

Detailed Description

Member Function Documentation

lti::splitImageTorgI Class Reference
[Color Analysis]