C implementation of Fuzzy SLIC (Precise superpixel number control version) with Matlab Interface

Copyright (c) 2018, Chong WU All rights reserved.

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Usage:

You need Matlab and a C compiler to compile this code before using it.

Input variables are:

1. 8 bit images (color or grayscale)
2. Number of intended superpixels (optional, default is 200)
3. Compactness coefficient (optional, default is 10), used to control the color sensitive.
4. Optional input (Use 1 to select Fuzzy SLICNC, use 0 to select Fuzzy SLIC, default is 0)
5. Optional input (Amplification coefficient, default is 0.2)

Ouputs are:

1. Labels (in raster scan order)
2. Number of labels (final output superpixels) in the image

Syntax:

[labels, numlabels] = FuzzySLIC(img,200,15);

[labels, numlabels] = FuzzySLIC(img,200,15,1);

[labels, numlabels] = FuzzySLIC(img,200,15,1,0.2);

NOTES:

Number of returned superpixels may be different from the input number of superpixels, if you select Fuzzy SLIC.

If you use this code please cite:

C. Wu et al., "Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering," in IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2020.3019109.