计算机科学与探索2011，Vol.38Issue(10)：273-277,5.
图模型在彩色纹理分类中的应用
Applications of Graphical Models in Color Texture Classification
摘要
Abstract
Texture is one of the important visual features in image analysis. For convenience, color texture images are often converted to gray images. It is a pity that color information is ignored. In order to keep texture and color information, principle component analysis (PCA) was utilized to reduce the dimension of color textures. Gaussian graphical models (GGM) have good prospect due to themselves advantages, and are applied to construct texture model. The structure of GGM is explored by the connection between the local Markov property and conditional regression of Gaussian random variables. Thus, the model selection can be converted to select variables in GGM. The development of technique of penalty regularization provides many methods for variable selection and parameter estimation. And,the methods of penalty regularization conduct neighborhood selection and parameter estimation simultaneously. Then, the texture feature is extracted and applied in color texture classificatioa The experiments show the good results. Therefore, the texture models based connection of GGM and PCA have an attractive prospect关键词
高斯图模型/变量选择/L1-惩罚正则化/彩色纹理分类Key words
Gaussian graphical models, Variables selection, Li-penalty regularization,Color texture classification分类
信息技术与安全科学引用本文复制引用
杨关,张向东,冯国灿,邹小林,刘志勇..图模型在彩色纹理分类中的应用[J].计算机科学与探索,2011,38(10):273-277,5.基金项目
本文受国家自然科学基金项目(60975083,U0835005)资助. （60975083,U0835005）
