Content-based Image Retrieval Using Fuzzy Hamming Distance
This paper addresses an effective issue of content-based image retrieval (CBIR) by presenting Fuzzy Hamming Distance (FHD). Firstly, the theory of FHD is introduced, which includes degree of difference and cardinality of the fuzzy set, and then follows defuzzification of FHD which is used as a fuzzy similarity measure. In the experiment, the image retrieval results show this method can be employed to capture implicitly some semantic contents of the image in addition to other features such as color, texture and shape. Finally, an implemented prototype system demonstrates a promising retrieval performance for a test database, as compared with FUZZYCLUB system.
Content-based Image Retrieval (CBIR ) Fuzzy Hamming Distance (FHD ) HSV color space
Hu Xuelong Yang Li Zhang Gensheng
School of Information Engineering,Yangzhou University,Yangzhou 225009,China;Jiangsu Province Key Lab School of Information Engineering,Yangzhou University,Yangzhou 225009,China
国际会议
西安
英文
2007-08-16(万方平台首次上网日期,不代表论文的发表时间)