Maximally stable extremal region extractor.
More...
#include "features2d.hpp"
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| virtual void | detectRegions (InputArray image, std::vector< std::vector< Point > > &msers, std::vector< Rect > &bboxes)=0 |
| | Detect MSER regions. More...
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| virtual int | getDelta () const =0 |
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| virtual int | getMaxArea () const =0 |
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| virtual int | getMinArea () const =0 |
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| virtual bool | getPass2Only () const =0 |
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| virtual void | setDelta (int delta)=0 |
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| virtual void | setMaxArea (int maxArea)=0 |
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| virtual void | setMinArea (int minArea)=0 |
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| virtual void | setPass2Only (bool f)=0 |
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| virtual | ~Feature2D () |
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| 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...
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| virtual void | compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
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| virtual int | defaultNorm () const |
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| virtual int | descriptorSize () const |
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| virtual int | descriptorType () const |
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| 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...
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| virtual void | detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
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| virtual void | detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
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| virtual bool | empty () const |
| | Return true if detector object is empty. More...
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| | Algorithm () |
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| virtual | ~Algorithm () |
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| virtual void | clear () |
| | Clears the algorithm state. More...
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| virtual String | getDefaultName () const |
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| virtual void | read (const FileNode &fn) |
| | Reads algorithm parameters from a file storage. More...
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| virtual void | save (const String &filename) const |
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| virtual void | write (FileStorage &fs) const |
| | Stores algorithm parameters in a file storage. More...
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| static Ptr< 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. More...
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| template<typename _Tp > |
| static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| | Loads algorithm from the file. More...
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| template<typename _Tp > |
| static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| | Loads algorithm from a String. More...
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| template<typename _Tp > |
| static Ptr< _Tp > | read (const FileNode &fn) |
| | Reads algorithm from the file node. More...
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Maximally stable extremal region extractor.
The class encapsulates all the parameters of the MSER extraction algorithm (see wiki article).
- there are two different implementation of MSER: one for grey image, one for color image
- the grey image algorithm is taken from: [106] ; the paper claims to be faster than union-find method; it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
- the color image algorithm is taken from: [50] ; it should be much slower than grey image method ( 3~4 times ); the chi_table.h file is taken directly from paper's source code which is distributed under GPL.
- (Python) A complete example showing the use of the MSER detector can be found at samples/python/mser.py
| static Ptr<MSER> cv::MSER::create |
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int |
_delta = 5, |
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int |
_min_area = 60, |
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int |
_max_area = 14400, |
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double |
_max_variation = 0.25, |
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double |
_min_diversity = .2, |
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int |
_max_evolution = 200, |
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double |
_area_threshold = 1.01, |
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double |
_min_margin = 0.003, |
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int |
_edge_blur_size = 5 |
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static |
Full consturctor for MSER detector.
- Parameters
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| _delta | it compares \((size_{i}-size_{i-delta})/size_{i-delta}\) |
| _min_area | prune the area which smaller than minArea |
| _max_area | prune the area which bigger than maxArea |
| _max_variation | prune the area have simliar size to its children |
| _min_diversity | for color image, trace back to cut off mser with diversity less than min_diversity |
| _max_evolution | for color image, the evolution steps |
| _area_threshold | for color image, the area threshold to cause re-initialize |
| _min_margin | for color image, ignore too small margin |
| _edge_blur_size | for color image, the aperture size for edge blur |
| virtual void cv::MSER::detectRegions |
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InputArray |
image, |
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std::vector< std::vector< Point > > & |
msers, |
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std::vector< Rect > & |
bboxes |
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) |
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pure virtual |
Detect MSER regions.
- Parameters
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| image | input image (8UC1, 8UC3 or 8UC4) |
| msers | resulting list of point sets |
| bboxes | resulting bounding boxes |
| virtual int cv::MSER::getDelta |
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const |
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pure virtual |
| virtual int cv::MSER::getMaxArea |
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const |
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pure virtual |
| virtual int cv::MSER::getMinArea |
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const |
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pure virtual |
| virtual bool cv::MSER::getPass2Only |
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const |
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pure virtual |
| virtual void cv::MSER::setDelta |
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int |
delta | ) |
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pure virtual |
| virtual void cv::MSER::setMaxArea |
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int |
maxArea | ) |
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pure virtual |
| virtual void cv::MSER::setMinArea |
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int |
minArea | ) |
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pure virtual |
| virtual void cv::MSER::setPass2Only |
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bool |
f | ) |
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pure virtual |
The documentation for this class was generated from the following file:
Public Member Functions inherited from cv::Feature2D
1.8.9.1
