Fuzzy c-means thresholding

version (22 KB) by Guanglei Xiong
Thresholding by 3-class fuzzy c-means clustering.


Updated Thu, 31 Mar 2016 00:09:50 +0000

View License

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 (2022). 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

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!