OpenCV
3.4.0
Open Source Computer Vision
|
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 [134]. : 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 [134]. 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 [134]. 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 [134]. 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 > > ®ions) |
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 > > ®ions, 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 > > ®ions) |
Converts MSER contours (vector<Point>) to ERStat regions. More... | |