cv.MSER - mexopencv

Maximally Stable Extremal Region extractor

The class encapsulates all the parameters of the MSER extraction algorithm (see [WikiArticle]).

there are two different implementation of MSER, one for gray image, one for color image
the gray image algorithm is taken from [Nister08]; the paper claims to be faster than union-find method.
the color image algorithm is taken from [Forssen07]; it should be much slower than gray image method (3~4 times).

References

[WikiArticle]:

MSER

[Nister08]:

David Nister and Henrik Stewenius. "Linear Time Maximally Stable Extremal Regions". In Proceedings of the 10th ECCV '08, pp 183-196. DOI

[Forssen07]:

Per-Erik Forssen. "Maximally Stable Colour Regions for Recognition and Matching". in CVPR '07. IEEE Conference on , pp.1-8, 17-22 June 2007 doi: 10.1109/CVPR.2007.383120 PDF

Superclasses	handle
Sealed	false
Construct on load	false

Delta
MaxArea	prune the area which bigger than MaxArea.
MinArea	prune the area which smaller than MinArea.
Pass2Only	default false
id	Object ID

	addlistener	Add listener for event.
	clear	Clears the algorithm state
	delete	Destructor
	detect	Detects keypoints in an image or image set
	detectRegions	Maximally stable extremal region extractor
	empty	Checks if detector object is empty
	eq	== (EQ) Test handle equality.
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
	ge	>= (GE) Greater than or equal relation for handles.
	getDefaultName	Returns the algorithm string identifier
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	le	<= (LE) Less than or equal relation for handles.
	listener	Add listener for event without binding the listener to the source object.
	load	Loads algorithm from a file or a string
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.
	save	Saves the algorithm parameters to a file
	typeid	Name of the C++ type (RTTI)