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Image segmentation using fast fuzzy c-means clusering

version 1.0.0.0 (2.62 MB) by Tao Lei
gryascale and color image segmentation

28 Downloads

Updated 24 Feb 2018

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A fast and robust fuzzy c-means clustering algorithms, namely FRFCM, is proposed. The FRFCM is able to segment grayscale and color images and provides excellent segmentation results.

Cite As

Tao Lei (2021). Image segmentation using fast fuzzy c-means clusering (https://www.mathworks.com/matlabcentral/fileexchange/66181-image-segmentation-using-fast-fuzzy-c-means-clusering), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (15)

Howard NS

very good

Sadia Basar

Please can anyone guide me how to run this code in matlab? I have following errors on its different files:
1. Undefined function or variable 'Conversion'.
2. Undefined function or variable 'f'.
3. Undefined function or variable 'data'.
4. [~,U1,~,~]=FRFCM_c(double(f_ori),cluster,se,w_size);
5. f_ori=imread('brain.bmp');

hongliang zu

Good algorithm

Chong WU

Hello. I use your algorithm, it is a really good algorithm. But it has a small bug, when the segmentation results return, it will add some values on 4 corners of the image matrix.

irfana bibi

Faisal Khan

非常好,非常感谢。。外国人

Diah Junaidi

qing lan

不错的文章,学到很多,有很大的帮助

XiaoFan Yang

Big thanks,It‘s a great helpful for my research!

XIAOMEI GUO

不错的文章,很有用。

vencent

学到很多,有很大的帮助

wulei wu

dage huang

zhendong ma

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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