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Class implementing the LSC (Linear Spectral Clustering) superpixels algorithm
As described in [LiCVPR2015LSC].
LSC (Linear Spectral Clustering) produces compact and uniform superpixels with low computational costs. Basically, a normalized cuts formulation of the superpixel segmentation is adopted based on a similarity metric that measures the color similarity and space proximity between image pixels. LSC is of linear computational complexity and high memory efficiency and is able to preserve global properties of images.
[LiCVPR2015LSC]:
Zhengqin Li and Jiansheng Chen. "Superpixel Segmentation using Linear Spectral Clustering". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
| Superclasses | handle |
| Sealed | false |
| Construct on load | false |
| SuperpixelLSC | Class implementing the LSC (Linear Spectral Clustering) superpixels |
| id | Object ID |
| addlistener | Add listener for event. | |
| clear | Clears the algorithm state | |
| delete | Destructor | |
| empty | Checks if detector object is empty | |
| enforceLabelConnectivity | Enforce label connectivity | |
| 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 actual amount of superpixels on a given segmentation computed and 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 |
| ObjectBeingDestroyed | Notifies listeners that a particular object has been destroyed. |