lti::classifier2DVisualizer::parameters Class Reference

the parameters for the class classifier2DVisualizer More...

#include <ltiClassifier2DVisualizer.h>

Inheritance diagram for lti::classifier2DVisualizer::parameters:

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Collaboration diagram for lti::classifier2DVisualizer::parameters:

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List of all members.

Public Member Functions
	parameters ()
	parameters (const parameters &other)
	~parameters ()
const char *	getTypeName () const
parameters &	copy (const parameters &other)
parameters &	operator= (const parameters &other)
virtual functor::parameters *	clone () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Public Attributes
dpoint	lowerLeft
dpoint	upperRight
point	imgSize
int	pixSize
int	highlightSize
bool	showBoundaries
rgbColor	boundaryColor
rgbColor	highlightColor
rgbColor	highlightColor2
int	colorOffset
palette	colorMap
bool	scaleRGBTogether

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Detailed Description

the parameters for the class classifier2DVisualizer

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Constructor & Destructor Documentation

lti::classifier2DVisualizer::parameters::parameters

(

)

default constructor

Reimplemented from lti::functor::parameters.

lti::classifier2DVisualizer::parameters::parameters

(

const parameters &

other

)

copy constructor

Parameters:

other

the parameters object to be copied

lti::classifier2DVisualizer::parameters::~parameters

(

)

[virtual]

destructor

Reimplemented from lti::functor::parameters.

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Member Function Documentation

virtual functor::parameters* lti::classifier2DVisualizer::parameters::clone

(

)

const [virtual]

returns a pointer to a clone of the parameters

Implements lti::functor::parameters.

parameters& lti::classifier2DVisualizer::parameters::copy

(

const parameters &

other

)

copy the contents of a parameters object

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

const char* lti::classifier2DVisualizer::parameters::getTypeName

(

)

const [virtual]

returns name of this type

Reimplemented from lti::functor::parameters.

parameters& lti::classifier2DVisualizer::parameters::operator=

(

const parameters &

other

)

copy the contents of a parameters object

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

virtual bool lti::classifier2DVisualizer::parameters::read	(	ioHandler &	handler,
		const bool	complete = true
	)			[virtual]

read the parameters from the given ioHandler

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::functor::parameters.

virtual bool lti::classifier2DVisualizer::parameters::write	(	ioHandler &	handler,
		const bool	complete = true
	)			const [virtual]

write the parameters in the given ioHandler

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::functor::parameters.

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Member Data Documentation

rgbColor lti::classifier2DVisualizer::parameters::boundaryColor

The color of the drawn boundaries.

Default is Grey75.

palette lti::classifier2DVisualizer::parameters::colorMap

The colormap which is to be used for assigning colors to labels.

Note that the colors are assigned cyclically, i.e. if there are more classes than labels, there will be different classes with the same colors.

Default value: a palette composed by the values Red, Green, Blue, Yellow, Magenta, Cyan, DarkOrange, Fusia, BrightGreen, LawnGreen, LightBlue, DarkViolet, Grey75, Grey50 and Grey25

int lti::classifier2DVisualizer::parameters::colorOffset

The offset for choosing the class color.

If pixels are colored, this value is added to the label to get the index for the color table.

Default is 0.

rgbColor lti::classifier2DVisualizer::parameters::highlightColor

The color of the drawn highlights.

Default is White.

rgbColor lti::classifier2DVisualizer::parameters::highlightColor2

The color of the drawn highlights2.

Default is Black.

int lti::classifier2DVisualizer::parameters::highlightSize

The size of a highlight.

Default is 6.

point lti::classifier2DVisualizer::parameters::imgSize

The size of the image that is generated.

Default is (1024,768).

dpoint lti::classifier2DVisualizer::parameters::lowerLeft

The lower left corner of the area that is to be plotted.

Default is (0,0).

int lti::classifier2DVisualizer::parameters::pixSize

The size of each virtual pixel.

A virtual pixel is a rectangle whose center is classified. Default is 2.

bool lti::classifier2DVisualizer::parameters::scaleRGBTogether

Each color channel of the final image will usually have values higher than the possible displayable values from 0.0 to 1.0.

To normalize the RGB channels, two options are given. If scaleRGB together is true all three channels will be normalized by the same value, which will be the maximal value between all three channels. If false (default), each channel will be normalized by its maximum.

Default value: false

bool lti::classifier2DVisualizer::parameters::showBoundaries

If this is true, the visualizer will draw boundaries between classes.

A pixel is assigned to the class with the highest classification output.

Default value: false

dpoint lti::classifier2DVisualizer::parameters::upperRight

The upper right corner of the area that is to be plotted.

Default is (1.333,1)

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

• ltiClassifier2DVisualizer.h