OpenCV  4.5.5
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | List of all members
cv::MSER Class Referenceabstract

Maximally stable extremal region extractor. More...

#include <opencv2/features2d.hpp>

Inheritance diagram for cv::MSER:
cv::Feature2D cv::Algorithm

Public Member Functions

virtual void detectRegions (InputArray image, std::vector< std::vector< Point > > &msers, std::vector< Rect > &bboxes)=0
 Detect MSER regions. More...
virtual String getDefaultName () const CV_OVERRIDE
virtual int getDelta () const =0
virtual int getMaxArea () const =0
virtual int getMinArea () const =0
virtual bool getPass2Only () const =0
virtual void setDelta (int delta)=0
virtual void setMaxArea (int maxArea)=0
virtual void setMinArea (int minArea)=0
virtual void setPass2Only (bool f)=0
- Public Member Functions inherited from cv::Feature2D
virtual ~Feature2D ()
virtual void compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
 Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). More...
virtual void compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
virtual int defaultNorm () const
virtual int descriptorSize () const
virtual int descriptorType () const
virtual void detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
 Detects keypoints in an image (first variant) or image set (second variant). More...
virtual void detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
virtual void detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
virtual bool empty () const CV_OVERRIDE
 Return true if detector object is empty. More...
void read (const String &fileName)
virtual void read (const FileNode &) CV_OVERRIDE
 Reads algorithm parameters from a file storage. More...
void write (const String &fileName) const
virtual void write (FileStorage &) const CV_OVERRIDE
 Stores algorithm parameters in a file storage. More...
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
virtual ~Algorithm ()
virtual void clear ()
 Clears the algorithm state. More...
virtual void save (const String &filename) const
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions

static Ptr< MSERcreate (int delta=5, int min_area=60, int max_area=14400, double max_variation=0.25, double min_diversity=.2, int max_evolution=200, double area_threshold=1.01, double min_margin=0.003, int edge_blur_size=5)
 Full constructor for MSER detector. More...
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file. More...
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node. More...

Additional Inherited Members

- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const

Detailed Description

Maximally stable extremal region extractor.

The class encapsulates all the parameters of the MSER extraction algorithm (see wiki article).

Member Function Documentation

◆ create()

static Ptr<MSER> cv::MSER::create ( int  delta = 5,
int  min_area = 60,
int  max_area = 14400,
double  max_variation = 0.25,
double  min_diversity = .2,
int  max_evolution = 200,
double  area_threshold = 1.01,
double  min_margin = 0.003,
int  edge_blur_size = 5 
cv.MSER_create([, delta[, min_area[, max_area[, max_variation[, min_diversity[, max_evolution[, area_threshold[, min_margin[, edge_blur_size]]]]]]]]]) -> retval

Full constructor for MSER detector.

deltait compares \((size_{i}-size_{i-delta})/size_{i-delta}\)
min_areaprune the area which smaller than minArea
max_areaprune the area which bigger than maxArea
max_variationprune the area have similar size to its children
min_diversityfor color image, trace back to cut off mser with diversity less than min_diversity
max_evolutionfor color image, the evolution steps
area_thresholdfor color image, the area threshold to cause re-initialize
min_marginfor color image, ignore too small margin
edge_blur_sizefor color image, the aperture size for edge blur

◆ detectRegions()

virtual void cv::MSER::detectRegions ( InputArray  image,
std::vector< std::vector< Point > > &  msers,
std::vector< Rect > &  bboxes 
pure virtual
cv.MSER.detectRegions(image) -> msers, bboxes

Detect MSER regions.

imageinput image (8UC1, 8UC3 or 8UC4, must be greater or equal than 3x3)
msersresulting list of point sets
bboxesresulting bounding boxes

◆ getDefaultName()

virtual String cv::MSER::getDefaultName ( ) const
cv.MSER.getDefaultName() -> retval

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented from cv::Feature2D.

◆ getDelta()

virtual int cv::MSER::getDelta ( ) const
pure virtual
cv.MSER.getDelta() -> retval

◆ getMaxArea()

virtual int cv::MSER::getMaxArea ( ) const
pure virtual
cv.MSER.getMaxArea() -> retval

◆ getMinArea()

virtual int cv::MSER::getMinArea ( ) const
pure virtual
cv.MSER.getMinArea() -> retval

◆ getPass2Only()

virtual bool cv::MSER::getPass2Only ( ) const
pure virtual
cv.MSER.getPass2Only() -> retval

◆ setDelta()

virtual void cv::MSER::setDelta ( int  delta)
pure virtual
cv.MSER.setDelta(delta) -> None

◆ setMaxArea()

virtual void cv::MSER::setMaxArea ( int  maxArea)
pure virtual
cv.MSER.setMaxArea(maxArea) -> None

◆ setMinArea()

virtual void cv::MSER::setMinArea ( int  minArea)
pure virtual
cv.MSER.setMinArea(minArea) -> None

◆ setPass2Only()

virtual void cv::MSER::setPass2Only ( bool  f)
pure virtual
cv.MSER.setPass2Only(f) -> None

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