| OpenCV 3.4.8 Open Source Computer Vision

Classes | Namespaces | Enumerations | Functions
erfilter.hpp File Reference
`#include "opencv2/core.hpp"`
`#include <vector>`
`#include <deque>`
`#include <string>`

## 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 [153]. : More...
struct | cv::text::ERStat
| The ERStat structure represents a class-specific Extremal Region (ER). More...

## Namespaces
| cv
| 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 [153]. More...
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 [153]. More...
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. More...
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 [153]. More...
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. More...
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::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. More...
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. More...
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)
Ptr< ERFilter::Callback > | cv::text::loadClassifierNM1 (const String &filename)
| Allow to implicitly load the default classifier when creating an ERFilter object. More...
Ptr< ERFilter::Callback > | cv::text::loadClassifierNM2 (const String &filename)
| Allow to implicitly load the default classifier when creating an ERFilter object. More...
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. More...