提出了一种基于特征符号随机场描述的纹理分类方法。特征符号随机场是纹理图象的一种二维描述，综采用离散的符号来描述纹理图象的结构性特征。

This paper suggests a texture classification algorithm based on the feature symbol random field (FSRF). FSRF is a 2 D representation of the image's bank information. In FSRF, symbol value of a pixel gives out its structure function in texture region and is more valuable than the gray value for texture classification. Meanwhile, several co occurrence matrix features are driven from the FSRF which are more powerful than energy features. This paper also suggests a Hierarchical scheme which leads to 96% correct ratio in the included experiments, while the gray value based method 67.5% and bank energies based method 75%.