The fuzzy similarity measures for content-based image retrieval

Many fuzzy methods have been applied to the content-based image retrieval (CBIR) to retrieve the similar images according to the similarity of fuzzy sets. In this paper, firstly the principle of fuzzy similarity measure for CBIR is deeply inspected, then the properties and the classes about fuzzy similarity measures are introduced and remarked, lastly we present a faster algorithm on similarity measure using center of gravity of fuzzy sets in CBIR. The discussion nearly covers all the fuzzy similarity measures, which may be greatly helpful to both the development and application of fuzzy set theory for CBIR.