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%.