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

Ptr< 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

§ ERStat()

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

explicit

Constructor.

§ ~ERStat()

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

Destructor.

Member Data Documentation

§ area

int cv::text::ERStat::area

incrementally computable features

§ central_moments

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

order 2 central moments to construct the covariance matrix

§ child

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

§ convex_hull_ratio

float cv::text::ERStat::convex_hull_ratio

§ crossings

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

horizontal crossings

§ euler

int cv::text::ERStat::euler

euler number

§ hole_area_ratio

float cv::text::ERStat::hole_area_ratio

2nd stage features

§ level

int cv::text::ERStat::level

§ local_maxima

bool cv::text::ERStat::local_maxima

wenever the regions is a local maxima of the probability

§ max_probability_ancestor

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

§ med_crossings

float cv::text::ERStat::med_crossings

median of the crossings at three different height levels

§ min_probability_ancestor

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

§ next

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

§ num_inflexion_points

float cv::text::ERStat::num_inflexion_points

§ parent

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

pointers preserving the tree structure of the component tree

§ perimeter

int cv::text::ERStat::perimeter

§ pixel

int cv::text::ERStat::pixel

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

§ pixels

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

§ prev

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

§ probability

double cv::text::ERStat::probability

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

§ raw_moments

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

order 1 raw moments to derive the centroid

§ rect

Rect cv::text::ERStat::rect

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

/build/master-contrib_docs-lin64/opencv_contrib/modules/text/include/opencv2/text/erfilter.hpp

Public Member Functions

Public Attributes