erfilter.hpp File Reference

#include "opencv2/core.hpp"
#include <vector>
#include <deque>
#include <string>

Include dependency graph for erfilter.hpp:

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Classes
class	cv::text::ERFilter::Callback
	Callback with the classifier is made a class. More...
class	cv::text::ERFilter
	Base class for 1st and 2nd stages of Neumann and Matas scene text detection algorithm [205]. : More...
struct	cv::text::ERStat
	The ERStat structure represents a class-specific Extremal Region (ER). More...

Namespaces
namespace	cv
namespace	cv::text

Enumerations
enum	{   cv::text::ERFILTER_NM_RGBLGrad ,   cv::text::ERFILTER_NM_IHSGrad }
	computeNMChannels operation modes More...
enum	cv::text::erGrouping_Modes {   cv::text::ERGROUPING_ORIENTATION_HORIZ ,   cv::text::ERGROUPING_ORIENTATION_ANY }
	text::erGrouping operation modes More...

Functions
void	cv::text::computeNMChannels (InputArray _src, OutputArrayOfArrays _channels, int _mode=ERFILTER_NM_RGBLGrad)
	Compute the different channels to be processed independently in the N&M algorithm [205].
Ptr< ERFilter >	cv::text::createERFilterNM1 (const Ptr< ERFilter::Callback > &cb, int thresholdDelta=1, float minArea=(float) 0.00025, float maxArea=(float) 0.13, float minProbability=(float) 0.4, bool nonMaxSuppression=true, float minProbabilityDiff=(float) 0.1)
	Create an Extremal Region Filter for the 1st stage classifier of N&M algorithm [205].
Ptr< ERFilter >	cv::text::createERFilterNM1 (const String &filename, int thresholdDelta=1, float minArea=(float) 0.00025, float maxArea=(float) 0.13, float minProbability=(float) 0.4, bool nonMaxSuppression=true, float minProbabilityDiff=(float) 0.1)
	Reads an Extremal Region Filter for the 1st stage classifier of N&M algorithm from the provided path e.g. /path/to/cpp/trained_classifierNM1.xml.
Ptr< ERFilter >	cv::text::createERFilterNM2 (const Ptr< ERFilter::Callback > &cb, float minProbability=(float) 0.3)
	Create an Extremal Region Filter for the 2nd stage classifier of N&M algorithm [205].
Ptr< ERFilter >	cv::text::createERFilterNM2 (const String &filename, float minProbability=(float) 0.3)
	Reads an Extremal Region Filter for the 2nd stage classifier of N&M algorithm from the provided path e.g. /path/to/cpp/trained_classifierNM2.xml.
void	cv::text::detectRegions (InputArray image, const Ptr< ERFilter > &er_filter1, const Ptr< ERFilter > &er_filter2, std::vector< Rect > &groups_rects, int method=ERGROUPING_ORIENTATION_HORIZ, const String &filename=String(), float minProbability=(float) 0.5)
	Extracts text regions from image.
void	cv::text::detectRegions (InputArray image, const Ptr< ERFilter > &er_filter1, const Ptr< ERFilter > &er_filter2, std::vector< std::vector< Point > > &regions)
void	cv::text::erGrouping (InputArray image, InputArray channel, std::vector< std::vector< Point > > regions, std::vector< Rect > &groups_rects, int method=ERGROUPING_ORIENTATION_HORIZ, const String &filename=String(), float minProbablity=(float) 0.5)
void	cv::text::erGrouping (InputArray img, InputArrayOfArrays channels, std::vector< std::vector< ERStat > > &regions, std::vector< std::vector< Vec2i > > &groups, std::vector< Rect > &groups_rects, int method=ERGROUPING_ORIENTATION_HORIZ, const std::string &filename=std::string(), float minProbablity=0.5)
	Find groups of Extremal Regions that are organized as text blocks.
Ptr< ERFilter::Callback >	cv::text::loadClassifierNM1 (const String &filename)
	Allow to implicitly load the default classifier when creating an ERFilter object.
Ptr< ERFilter::Callback >	cv::text::loadClassifierNM2 (const String &filename)
	Allow to implicitly load the default classifier when creating an ERFilter object.
void	cv::text::MSERsToERStats (InputArray image, std::vector< std::vector< Point > > &contours, std::vector< std::vector< ERStat > > &regions)
	Converts MSER contours (vector<Point>) to ERStat regions.