Content-based Image Retrieval Using Fuzzy Hamming Distance

摘要：

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.

关键词： Content-based Image Retrieval (CBIR ) Fuzzy Hamming Distance (FHD ) HSV color space

作者: Hu Xuelong Yang Li Zhang Gensheng

作者单位: School of Information Engineering,Yangzhou University,Yangzhou 225009,China;Jiangsu Province Key Lab School of Information Engineering,Yangzhou University,Yangzhou 225009,China

会议类型: 国际会议

会议名称: 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)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）