cv.SuperpixelSEEDS

Class implementing the SEEDS (Superpixels Extracted via Energy-Driven Sampling) superpixels algorithm

As described in [VBRV14].

The algorithm uses an efficient hill-climbing algorithm to optimize the superpixels' energy function that is based on color histograms and a boundary term, which is optional. The energy function encourages superpixels to be of the same color, and if the boundary term is activated, the superpixels have smooth boundaries and are of similar shape. In practice it starts from a regular grid of superpixels and moves the pixels or blocks of pixels at the boundaries to refine the solution. The algorithm runs in real-time using a single CPU.

References

[VBRV14]:

Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, and Luc Van Gool. "SEEDS: Superpixels Extracted via Energy-Driven Sampling". In Computer Vision-ECCV 2012, pages 13-26. Springer, 2012.

Superclasses	handle
Sealed	false
Construct on load	false

	addlistener	Add listener for event.
	clear	Clears the algorithm state
	delete	Destructor
	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
	getLabelContourMask	Returns the mask of the superpixel segmentation stored in object
	getLabels	Returns the segmentation labeling of the image
	getNumberOfSuperpixels	Calculates the superpixel segmentation on a given image stored in object
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	iterate	Calculates the superpixel segmentation on a given image with the initialized parameters in the object
	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