Abstract
In this paper, we propose a fuzzy similarity measure based on Sugeno fuzzy integral and apply it to 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.
Original language | English |
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Title of host publication | Proceedings - Third International Conference on Image and Graphics |
Pages | 160-163 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 1 Dec 2004 |
Event | Proceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong Duration: 18 Dec 2004 → 20 Dec 2004 |
Conference
Conference | Proceedings - Third International Conference on Image and Graphics |
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Country/Territory | Hong Kong |
City | Hong Kong |
Period | 18/12/04 → 20/12/04 |
ASJC Scopus subject areas
- General Engineering