erfilter.hpp#

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

Include dependency graph for erfilter.hpp:

This graph shows which files directly or indirectly include erfilter.hpp:

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 [228]. : 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,
ERFILTER_NM_IHSGrad
}

computeNMChannels operation modes More…

enum cv::text::erGrouping_Modes {
ERGROUPING_ORIENTATION_HORIZ,
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 [228].

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 [228].

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 [228].

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) to ERStat regions.