Fuzzy c-means thresholding
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.
Citar como
Guanglei Xiong (2024). Fuzzy c-means thresholding (https://www.mathworks.com/matlabcentral/fileexchange/8351-fuzzy-c-means-thresholding), MATLAB Central File Exchange. Recuperado .
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Windows macOS LinuxCategorías
- Control Systems > Fuzzy Logic Toolbox >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
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Versión | Publicado | Notas de la versión | |
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1.0.0.0 | BSD
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