文献类型：会议论文

英文题名：A new metric algorithm of image textural coarseness

作者：Xu, Guang-Mei[1]; Hui, Wen[2]; Zhao, Hai-Ying[2,3]; Bao, Hong[1]

第一作者：徐光美

通讯作者：Xu, G.-M.

机构：[1] Information College, Beijing Union University, Beijing, China; [2] School of Information Engineering, University of Science and Technology Beijing, Beijing, China; [3] College of Maths-Physics and Information Sciences, Xinjiang Normal University, Urumqi, China

第一机构：北京联合大学智慧城市学院

会议论文集：ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings

会议日期：22 October 2010 through 24 October 2010

会议地点：Shanxi, Taiyuan

语种：英文

外文关键词：Gabor filters - Robustness (control systems) - Textures - Wavelet transforms

摘要：Aim at the address of fractal dimension for the measure of texture coarseness is low on calculation accuracy and the lack of robustness on rotating and noise metric. A kind of combining multi-scale and multi-directional metric model of Gabor filter with fractal dimension is proposed. 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. Then to establish fractal overlay model, 12 fractal dimensions are extracted based on filtered 12 images, and finally the average of fractal dimension is calculated as presented the model of measuring global texture coarseness. In the database Mosaics of various natural textures from the Brodatz album on the simulation experiments show that the new algorithm to measure the local texture metric comparison of the original global coarseness of the fractal model has high measurement accuracy and a strong rotation and noise robustness. ? 2010 IEEE.