会议专题

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

第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

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)