Image Texture Recognition Method Research Based on Wavelet Technology

摘要：

In image retrieval and identification technology, image texture feature extraction and recognition is a better way. Texture is a feature which is common and difficult to describe in the image. Texture feature extraction and recognition is an important part of image retrieval study based on content. This paper utilizes Wavelet Technology, proposes a texture feature extraction and recognition algorithm based on Wavelet packet transform and singular value decomposition, and by measuring calculation distance of European space, obtain the image which is closest to sample image.

作者: Yong-jun LIU Cui-jian ZHAO Su-jing SUN Hong LI

作者单位: Department of Computer, School of Information Science and Technology, Shijiazhuang Tiedao University Department of Electrical Information Engineering,Shijiazhuang University.Shijiazhuang City,CHINA

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 592-594

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）