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Histogram based fuzzy C-mean algorithm for image segmentation

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3 Author(s)
Ye Xiu Qing ; Zhejiang Univ., Hangzhou, China ; Huang Zhen Hua ; Xiao Qiang

Since a real image is usually very complex, there must be some uncertainties and errors in image segmentation. The fuzzy C-mean (FCM) algorithm can overcome this problem, but the cost will be a large amount of computation time. The authors present an improved FCM algorithm which uses a histogram, instead of the gray function, to find centers of the gray level. Theoretical analysis and experiment results show that it can reduce the computing time significantly

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992