loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
11th International Conference on Image Analysis and Processing (ICIAP'01)
A Modified Fuzzy ART for Image Segmentation
Palermo, Italy
September 26-September 28
ISBN: 0-7695-1183-X
L. Cinque, Universit? di Roma "La Sapienza"
G. L. Foresti, Universit? di Udine
A. Gumina, Universit? di Roma "La Sapienza"
S. Levialdi, Universit? di Roma "La Sapienza"
Abstract: 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 literature, like SOM and original fuzzy ART have been presented. Qualitative and quantitative evaluations confirm the validity of our approach.
Citation:
L. Cinque, G. L. Foresti, A. Gumina, S. Levialdi, "A Modified Fuzzy ART for Image Segmentation," iciap, pp.0102, 11th International Conference on Image Analysis and Processing (ICIAP'01), 2001
Usage of this product signifies your acceptance of the Terms of Use.