文章基本信息

标题：Similarity measures for content-based image retrieval based on intuitionistic fuzzy set theory
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作者：Xu, Shaoping ; Li, Chunquan ; Jiang, Shunliang 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2012
卷号：7
期号：7
页码：1733-1742
DOI：10.4304/jcp.7.7.1733-1742
语种：English
出版社：Academy Publisher
摘要：In this paper, a new intuitionistic fuzzy model for images based on the HSV color histogram is proposed. The image can be treated as an Attanassov’s intuitionistic fuzzy set (IFS) with this new model. A new and simple calculation of similarity measurement called IFSL1 based on similarity measurement of intuitionistic fuzzy set L1 is presented. Unlike general fuzzy similarity measure that consider only the membership degree, the new intuitionistic similarity measure takes into account the membership degree, the nonmembership degree and the hesitation degree, these have been found to be highly useful in dealing with vagueness. The similarity measure IFSL1 is used for content-based image retrieval (CBIR).With the similarity measure IFSL1, image retrieval can be carried out more rapidly than with many other existing similarity measurements and the results better coincide with human perception.
关键词：Content-based image retrieval ;Intuitionistic fuzzy set ;Similarity measure ;HSV color space ;Image fuzzy model