A modified fuzzy C-means with particle swarm optimization adaptive image segmentation algorithm

Yingjie Gu; Zhenhong Jia; Jie Yang; Shaoning Pang

doi:10.1117/12.869522

21 July 2010 A modified fuzzy C-means with particle swarm optimization adaptive image segmentation algorithm

Yingjie Gu, Zhenhong Jia, Jie Yang, Shaoning Pang

Proceedings Volume 7749, 2010 International Conference on Display and Photonics; 774913 (2010) https://doi.org/10.1117/12.869522
Event: 2010 International Conference on Display and Photonics, 2010, Nanjing, China

Abstract

A new method which the numbers of cluster is self-adapted and use up and down cut-off of FCM combined with PSO to take place of common FCM combined with PSO is proposed in this paper. Experiment's results show that compared with the method of combining the particle swarm optimization (PSO) with common FCM, it helps to make a better effect on image segmentation and optimize the numbers of cluster and converge the rate quickly.

Citation Download Citation

Yingjie Gu, Zhenhong Jia, Jie Yang, and Shaoning Pang "A modified fuzzy C-means with particle swarm optimization adaptive image segmentation algorithm", Proc. SPIE 7749, 2010 International Conference on Display and Photonics, 774913 (21 July 2010); https://doi.org/10.1117/12.869522

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