An improved FCM algorithm for image segmentation

Authors:
Kunlun Li;Zheng Cao;Liping Cao;Ming Liu
Affiliations:
College of Electronic and Information Engineering, Hebei University, Baoding, China;College of Electronic and Information Engineering, Hebei University, Baoding, China;Department of Electrical and Mechanical Engineering, Baoding Vocational and Technical College, Baoding, China;College of Electronic and Information Engineering, Hebei University, Baoding, China
Venue:
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Year:
2010

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Abstract

A novel image segmentation method based on modified fuzzy c-means (FCM) is proposed in this paper. By using the neighborhood pixels as spatial information, a spatial constraint penalty term is added in the objective function of standard FCM to improve the robustness. Meanwhile, the neighbor pixels information is used selectively to reduce computing time and iterations. Experiments on real images segmentation proved the availability of the improvement.