一种基于质心不变特性的仿射不变纹理特征提取算法  

Affine Invariant Texture Feature Extraction Based on Invariant Centroid

作　　者：贾建华[1] 焦李成[1] 黄文涛[1] 

机构地区：[1]西安电子科技大学智能信息处理研究所和智能感知与图像理解教育部重点实验室,陕西西安710071

出　　处：《电子学报》2008年第10期1910-1915,共6页Acta Electronica Sinica

基　　金：国家973重点基础研究发展规划(No.2001CB309403);国家自然科学基金(No.60472084)

摘　　要：仿射不变模式识别是模式识别问题中的一个难点问题,本文提出了一种基于全局特征的仿射不变特征提取方法.算法从仿射变换的数学模型出发,利用仿射前后图像质心位置的不变特性,以质心为极点将图像从笛卡尔坐标系变换到极坐标系,然后利用对数变换和Radon变换分别将各向异性的尺度变换和旋转变换转化为平移变换,在此基础上利用具有平移不变性的非下采样小波变换提取变换图像的平移不变特征,实现了对图像的仿射不变的特征提取.将此算法运用于仿射纹理图像分类中,实验结果表明达到了较高的识别率.The aft-me invariance is a challenging problem in pattern recognition. This paper proposes a new method of achieving affme invariance based on global features. Originating from the mathematical model of affine transform, the algorithm converts the coordinates of images from Cartesian plane to polar plane based on the invadance of centroid of images in the affine transform. Using log transform and Radon transform, anisotropy scale transform and rotation transform are converted to shift transform respectively. At last the stationary wavelet transform is exploited to extract the shift-invariant features of images. Thus affine invariant features of images can be obtained. The algorithm is applied to the affine texture classification. Experimental results show a good performance.

关 键 词：仿射不变 图像质心 对数变换 RADON变换 小波变换 纹理分类 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]