cv::LogPolar_Adjacent Class Reference

#include <contrib.hpp>

List of all members.

Classes
struct	pixel
Public Member Functions
	LogPolar_Adjacent ()
	LogPolar_Adjacent (int w, int h, Point2i center, int R=70, double ro0=3.0, double smin=0.25, int full=1, int S=117, int sp=1)
const Mat	to_cortical (const Mat &source)
const Mat	to_cartesian (const Mat &source)
	~LogPolar_Adjacent ()
Protected Member Functions
void	subdivide_recursively (double x, double y, int i, int j, double length, double smin)
bool	get_uv (double x, double y, int &u, int &v)
void	create_map (int M, int N, int R, int S, double ro0, double smin)
Protected Attributes
int	S
int	R
int	M
int	N
int	top
int	bottom
int	left
int	right
double	ro0
double	romax
double	a
double	q
vector< vector< pixel > >	L
vector< double >	A

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Detailed Description

Adjacent receptive fields technique

*All the Cartesian pixels, whose coordinates in the cortical domain share the same integer part, are assigned to the same RF. *The precision of the boundaries of the RF can be improved by breaking each pixel into subpixels and assigning each of them to the correct RF. *This technique is implemented from: Traver, V., Pla, F.: Log-polar mapping template design: From task-level requirements *to geometry parameters. Image Vision Comput. 26(10) (2008) 1354-1370

*More details can be found in http://dx.doi.org/10.1007/978-3-642-23968-7_5

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Constructor & Destructor Documentation

cv::LogPolar_Adjacent::LogPolar_Adjacent

(

)

cv::LogPolar_Adjacent::LogPolar_Adjacent	(	int	w,
		int	h,
		Point2i	center,
		int	R = 70,
		double	ro0 = 3.0,
		double	smin = 0.25,
		int	full = 1,
		int	S = 117,
		int	sp = 1
	)

     *Constructor

Parameters:

w	the width of the input image
h	the height of the input image
center	the transformation center: where the output precision is maximal
R	the number of rings of the cortical image (default value 70 pixel)
ro0	the radius of the blind spot (default value 3 pixel)
smin	the size of the subpixel (default value 0.25 pixel)
full	1 (default value) means that the retinal image (the inverse transform) is computed within the circumscribing circle. 0 means that the retinal image is computed within the inscribed circle.
S	the number of sectors of the cortical image (default value 70 pixel). Its value is usually internally computed to obtain a pixel aspect ratio equals to 1.
sp	1 (default value) means that the parameter S is internally computed. 0 means that the parameter S is provided by the user.

cv::LogPolar_Adjacent::~LogPolar_Adjacent

(

)

*Destructor

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Member Function Documentation

const Mat cv::LogPolar_Adjacent::to_cortical

(

const Mat &

source

)

     *Transformation from Cartesian image to cortical (log-polar) image.

Parameters:

source

the Cartesian image

Returns:

the transformed image (cortical image)

const Mat cv::LogPolar_Adjacent::to_cartesian

(

const Mat &

source

)

     *Transformation from cortical image to retinal (inverse log-polar) image.

Parameters:

source

the cortical image

Returns:

the transformed image (retinal image)

void cv::LogPolar_Adjacent::subdivide_recursively	(	double	x,
		double	y,
		int	i,
		int	j,
		double	length,
		double	smin
	)		[protected]

bool cv::LogPolar_Adjacent::get_uv	(	double	x,
		double	y,
		int &	u,
		int &	v
	)		[protected]

void cv::LogPolar_Adjacent::create_map	(	int	M,
		int	N,
		int	R,
		int	S,
		double	ro0,
		double	smin
	)		[protected]

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Member Data Documentation

int cv::LogPolar_Adjacent::S [protected]

int cv::LogPolar_Adjacent::R [protected]

int cv::LogPolar_Adjacent::M [protected]

int cv::LogPolar_Adjacent::N [protected]

int cv::LogPolar_Adjacent::top [protected]

int cv::LogPolar_Adjacent::bottom [protected]

int cv::LogPolar_Adjacent::left [protected]

int cv::LogPolar_Adjacent::right [protected]

double cv::LogPolar_Adjacent::ro0 [protected]

double cv::LogPolar_Adjacent::romax [protected]

double cv::LogPolar_Adjacent::a [protected]

double cv::LogPolar_Adjacent::q [protected]

vector<vector<pixel> > cv::LogPolar_Adjacent::L [protected]

vector<double> cv::LogPolar_Adjacent::A [protected]

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

• include/opencv2/contrib/contrib.hpp