OpenCV  3.4.5
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 "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 consturctor 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 
retval=cv.MSER_create([, _delta[, _min_area[, _max_area[, _max_variation[, _min_diversity[, _max_evolution[, _area_threshold[, _min_margin[, _edge_blur_size]]]]]]]]])

Full consturctor 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
msers, bboxes=cv.MSER.detectRegions(image)

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

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

§ getMaxArea()

virtual int cv::MSER::getMaxArea ( ) const
pure virtual

§ getMinArea()

virtual int cv::MSER::getMinArea ( ) const
pure virtual

§ getPass2Only()

virtual bool cv::MSER::getPass2Only ( ) const
pure virtual

§ setDelta()

virtual void cv::MSER::setDelta ( int  delta)
pure virtual

§ setMaxArea()

virtual void cv::MSER::setMaxArea ( int  maxArea)
pure virtual

§ setMinArea()

virtual void cv::MSER::setMinArea ( int  minArea)
pure virtual

§ setPass2Only()

virtual void cv::MSER::setPass2Only ( bool  f)
pure virtual

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