Fuzzy c-means thresholding

Version 1.0.0.0 (22 ko) par Guanglei Xiong
Thresholding by 3-class fuzzy c-means clustering.
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Mise à jour 31 mars 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.

Citation pour cette source

Guanglei Xiong (2025). Fuzzy c-means thresholding (https://www.mathworks.com/matlabcentral/fileexchange/8351-fuzzy-c-means-thresholding), MATLAB Central File Exchange. Extrait(e) le .

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1.0.0.0

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