Class implementing the LSC (Linear Spectral Clustering) superpixels
obj = cv.SuperpixelLSC(img)
obj = cv.SuperpixelLSC(img, 'OptionName',optionValue, ...)
Input
- img Image to segment.
Options
- RegionSize Chooses an average superpixel size measured in pixels. default 10
- Ratio Chooses the enforcement of superpixel compactness factor of superpixel. default 0.075
The function initializes a SuperpixelLSC object for the input
image. It sets the parameters of superpixel algorithm, which
are: RegionSize and Ratio. It preallocate some buffers for
future computing iterations over the given image. An example of
LSC is ilustrated in the following picture.
For enanched results it is recommended for color images to
preprocess image with little gaussian blur with a small 3x3
kernel and additional conversion into CieLAB color space.
