cv::text::ERStat Struct Reference

The ERStat structure represents a class-specific Extremal Region (ER). More...

#include "erfilter.hpp"

Public Member Functions
	ERStat (int level=256, int pixel=0, int x=0, int y=0)
	Constructor. More...
	~ERStat ()
	Destructor. More...

Public Attributes
int	area
	incrementally computable features More...
double	central_moments [3]
	order 2 central moments to construct the covariance matrix More...
ERStat *	child
float	convex_hull_ratio
std::deque< int > *	crossings
	horizontal crossings More...
int	euler
	euler number More...
float	hole_area_ratio
	2nd stage features More...
int	level
bool	local_maxima
	wenever the regions is a local maxima of the probability More...
ERStat *	max_probability_ancestor
float	med_crossings
	median of the crossings at three different height levels More...
ERStat *	min_probability_ancestor
ERStat *	next
float	num_inflexion_points
ERStat *	parent
	pointers preserving the tree structure of the component tree More...
int	perimeter
int	pixel
	seed point and the threshold (max grey-level value) More...
std::vector< int > *	pixels
ERStat *	prev
double	probability
	probability that the ER belongs to the class we are looking for More...
double	raw_moments [2]
	order 1 raw moments to derive the centroid More...
Rect	rect

Detailed Description

The ERStat structure represents a class-specific Extremal Region (ER).

An ER is a 4-connected set of pixels with all its grey-level values smaller than the values in its outer boundary. A class-specific ER is selected (using a classifier) from all the ER's in the component tree of the image. :

Constructor & Destructor Documentation

cv::text::ERStat::ERStat ( int  level = 256, int  pixel = 0, int  x = 0, int  y = 0  )

explicit

Constructor.

cv::text::ERStat::~ERStat ( )

inline

Destructor.

Member Data Documentation

int cv::text::ERStat::area

incrementally computable features

double cv::text::ERStat::central_moments[3]

order 2 central moments to construct the covariance matrix

ERStat* cv::text::ERStat::child

float cv::text::ERStat::convex_hull_ratio

std::deque<int>* cv::text::ERStat::crossings

horizontal crossings

int cv::text::ERStat::euler

euler number

float cv::text::ERStat::hole_area_ratio

2nd stage features

int cv::text::ERStat::level

bool cv::text::ERStat::local_maxima

wenever the regions is a local maxima of the probability

ERStat* cv::text::ERStat::max_probability_ancestor

float cv::text::ERStat::med_crossings

median of the crossings at three different height levels

ERStat* cv::text::ERStat::min_probability_ancestor

ERStat* cv::text::ERStat::next

float cv::text::ERStat::num_inflexion_points

ERStat* cv::text::ERStat::parent

pointers preserving the tree structure of the component tree

int cv::text::ERStat::perimeter

int cv::text::ERStat::pixel

seed point and the threshold (max grey-level value)

std::vector<int>* cv::text::ERStat::pixels

ERStat* cv::text::ERStat::prev

double cv::text::ERStat::probability

probability that the ER belongs to the class we are looking for

double cv::text::ERStat::raw_moments[2]

order 1 raw moments to derive the centroid

Rect cv::text::ERStat::rect

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

• C:/Programming/OpenCV/opencv_contrib_fork/modules/text/include/opencv2/text/erfilter.hpp