【作者】 曹伟国； 李宗民； 李华；

【Author】 Cao Weiguo~(1,2) Li Zongmin~(3) Li Hua~(1) (1)(National Research Center for Intelligent Computing Systems,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190) (2)(Graduate University of Chinese Academy of Sciences,Beijing 100190) (3)(School of Computer and Communication Engineering,China University of Petroleum,Dongying 257062)

【机构】 中国科学院计算技术研究所智能中心； 中国石油大学(华东)计算机与通信工程学院；

【摘要】 本文提出了一种基于 Radon 变换与小波变换的旋转与尺度不变的纹理分类方法:对纹理图像做 Radon 变换, 用标准差构造纹理图像的一条特征曲线.使用小波对这条特征曲线进行分解,提取其小波特征,获取纹理图像的旋转和尺度不变量,进行纹理分类。通过与其他两种方法比较,该方法不仅耗时更少,而且准确率更高。更多还原

【Abstract】 A method of rotational and scale invariant for texture analysis based on radon transform and wavelet transform is proposed in this paper.After a texture is standardized,it is projected to Radon domain.Then the standard deviation of data are computed at each projecting directions,thus all standard deviations constitute the feature curve’of the texture.The curve is decomposed by a wavelet and the invariant features are extracted.By contrast with two other methods,our method exceeds in computation and accuracy.更多还原