文献类型：会议论文

英文题名：An algorithm of extraction visual texture features based on Gabor transformation

作者：Zhao, Hai Ying[1,2]; Xu, Guang Mei[3]; Xu, Zheng Guang[1]

第一作者：Zhao, Hai Ying

通讯作者：Zhao, H. Y.

机构：[1] School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, China; [2] College of Computer and Technology, Xinjiang Normal University, Urumqi Xinjiang 830054, China; [3] Department of Computer Science and Technology, Beijing Union University, Beijing 100101, China

第一机构：School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, China

会议论文集：2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings

会议日期：21 October 2010 through 23 October 2010

会议地点：Chongqing

语种：英文

外文关键词：Fractal dimension - Gabor filters - Image retrieval - Pattern recognition - Probability distributions - Search engines - Textures

摘要：A kind of algorithm to extract global texture coarseness and direction based on multi-scale and multi-directional metric model of Gabor filter is proposed. In this method, at first, Gabor wavelet model based on multi-scale and multi-directional transform is constructed and image filtering is executed on three-scale and four-directional metric model of Gabor filter. 12 fractal dimensions are extracted based on filtered 12 images, and the average of fractal dimension is calculated as presented the model of measuring global texture coarseness. Then a histogram of local edge probability is constructed to describe qualitatively the distribution of global texture and give a quantitative value of measurement. At last, the distance matching is performed to obtain a similarity measure of combination textures. The proposed method is employed in an image retrieval system using combination visual texture features representation. It shows that the method is efficient.