Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels

obj = cv.SuperpixelSLIC(img)
obj = cv.SuperpixelSLIC(img, 'OptionName',optionValue, ...)

Input

• img Image to segment.

Options

• Algorithm Chooses the algorithm variant to use:
  • SLICsegments image using a desired RegionSize and compactness factor Ruler (the same compactnes for all superpixels in the image).
  • SLICO segments image using a desired RegionSize, and in addition will choose an adaptive compactness factor for each superpixel differently. This is the default.
• RegionSize Chooses an average superpixel size measured in pixels. default 10
• Ruler Chooses the enforcement of superpixel smoothness factor of superpixel. Only considered for SLIC, has no effect on SLICO. default 10.0

The function initializes a SuperpixelSLIC object for the input image. It sets the parameters of choosed superpixel algorithm, which are: RegionSize and Ruler. It preallocate some buffers for future computing iterations over the given image. An example of SLIC versus SLICO is ilustrated in the following picture.

<<http://docs.opencv.org/3.1.0/slic_slico_kermit.png>>