DocumentCode
2852709
Title
Image retrieval based on Sugeno fuzzy integral
Author
Li, Junli ; Chi, Zheru ; Gang Chen
Author_Institution
Sch. of Inf. Sci. & Eng., Ningbo Univ., China
fYear
2004
fDate
18-20 Dec. 2004
Firstpage
160
Lastpage
163
Abstract
In this paper, we propose a fuzzy similarity measure based on the Sugeno fuzzy integral and apply it to the content-based image retrieval. Fuzzy measure is used to formulate the subjective feedback information. Experimental results show that the proposed method can improve the efficiency and reliability of image retrieval system. Our method of formulating the subjective feedback information performs better than the weighted average operator (WAO) and a Choquet-integral-based similarity measure.
Keywords
content-based retrieval; feedback; fuzzy set theory; image retrieval; mathematical operators; Sugeno fuzzy integral; content-based image retrieval; fuzzy similarity measure; subjective feedback information; weighted average operator; Content based retrieval; Digital signal processing; Feedback; Fuzzy sets; Humans; Image retrieval; Information science; Performance evaluation; Power measurement; Software measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location
Hong Kong, China
Print_ISBN
0-7695-2244-0
Type
conf
DOI
10.1109/ICIG.2004.83
Filename
1410410
Link To Document