OpenCV  3.3.1
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
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
 Return true if detector object is empty. More...
void read (const String &fileName)
virtual void read (const FileNode &)
 Reads algorithm parameters from a file storage. More...
void write (const String &fileName) const
virtual void write (FileStorage &) const
 Stores algorithm parameters in a file storage. More...
- 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

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 

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 simliar 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

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: