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A modified fuzzy ART for image segmentation

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4 Author(s)
Cinque, L. ; Dipartimento di Sci. dell''Inf., Rome Univ., Italy ; Foresti, G.L. ; Gumina, A. ; Levialdi, S.

This paper presents a clustering approach for image segmentation based on a modified fuzzy ART model. The goal of the proposed approach is to find a simple model able to instance a prototype for each cluster in order to avoid complex post-processing phases. Some results and comparisons with other models present in the literature, like SOM and original fuzzy ART are presented. Qualitative and quantitative evaluations confirm the validity of our approach

Published in:

Image Analysis and Processing, 2001. Proceedings. 11th International Conference on

Date of Conference:

26-28 Sep 2001

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