Fuzzy c-means thresholding

Thresholding by 3-class fuzzy c-means clustering.
Updated 31 Mar 2016

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FCMTHRESH Thresholding by 3-class fuzzy c-means clustering
[bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often works better than Otsu's methold which outputs larger or smaller threshold on fluorescence images.

sw is 0 or 1, a switch of cut-off position.
sw=0, cut between the small and middle class
sw=1, cut between the middle and large class

Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn)
at Tsinghua University, Beijing, China.

Inspired by Xiaobo Zhou
at Harvard Medical School.

Cite As

Guanglei Xiong (2024). Fuzzy c-means thresholding (https://www.mathworks.com/matlabcentral/fileexchange/8351-fuzzy-c-means-thresholding), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14SP2
Compatible with any release
Platform Compatibility
Windows macOS Linux

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