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http://dx.doi.org/10.5391/JKIIS.2006.16.2.203

Content- based Image Retrieval using Fuzzy Integral  

Kim, Dong-Woo (충북대학교 전기전자컴퓨터공학부 영상통신연구실)
Song, Young-Jun (충북대학교 전기전자컴퓨터공학부 & BITRC)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.2, 2006 , pp. 203-208 More about this Journal
Abstract
The management of image information settles as an important field with the advent of multimedia age and we are in need of the effective retrieval method to manage systematically image information. This paper has complemented the problem caused by the absence of space information that is a weak point of the existing color histogram method by assigning regions of features, and raised accuracy by adding texture and shape information. And existing methods using multiple features have problems that the retrieval process is embarrassed because each weight is set up manually. So we has solved these problems by assignment of weight applying fuzzy integral. As a result of experimenting with 1,000 color images, the proposed method showed better precision and recall than the existing method.
Keywords
CBIR; Fuzzy integral; Feature extraction; Similarity comparison; Digital contents.;
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