Initialize a SuperpixelSLIC object

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

Input

• img Image to segment.

Options

• Algorithm Chooses the algorithm variant to use:
  • SLIC segments 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.
  • MSLIC optimize using manifold methods resulting in more content-sensitive superpixels.
• 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.

For enanched results it is recommended for color images to preprocess image with little gaussian blur using a small 3x3 kernel and additional conversion into CIELAB color space.

An example of SLIC versus SLICO and MSLIC is ilustrated in the following picture.