基于Gabor理论的山水画皴法分类精选.pdf

Computer Science and Application 计算机科学与应用, 2014, 4, 59-65 Published Online March 2014 in Hans. /journal/csa /10.12677/csa.2014.43011 Classification of Landscape Painting Texturing Based on Gabor Yufan Li, Hongyan Xing, Jingxuan Chen, Minzhi Yang School of Applied Mathematics, Guangdong University of Technology, Guangzhou Email: justin_yufan@163.com, 928hongy@163.com, 1054637410@, 593097322@ nd rd th Received: Feb. 2 , 2014; revised: Mar. 3 , 2014; accepted: Mar. 12 , 2014 Copyright © 2014 by authors and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ Abstract Extracting the effective features for texture description and classification has always been the hot spot of the texture analysis. In this paper, according to different texture of traditional Chinese painting, we use a kind of Gabor filter technique to classify the painting. By texture feature extrac- tion, first of all, we preprocess the traditional Chinese painting images with geometric normaliza- tion and light normalization, after that we process the group of the Gabor filter of high dimension- al feature vectors by principal component analysis (PCA) for dimension reduction. Finally, support vector machine (SVM) method is employed for texture classification. The accuracy rate of this classification method can reach 95.5%. Keywords Texturing Classification; Gabor Filter; Principal Component Analysis; Support Vector Machine 基于Gabor理论的山水画皴法分类 黎宇帆，邢鸿雁，陈静旋，杨敏之 广东工业大学应用数学学院，广州 Email: justin_yufan@163.com, 928hongy@163.com, 1054637410@, 593097322@ 收稿日期：2014年2月2 日；修回日期：2014年3月3 日；录用日期：2014年3月12 日 摘 要 提取具有代表性的特