Abstract: Texture coarseness is the highest level of texture feature of visual perception. It is very important that lower features are transformed to higher semantic features. Many measure texture coarseness algorithms of image were proposed based on different application background. But they are lack of comparison and evaluation of the overall and are only limited to the selection of the GI_CM method. This paper made a testing among these methods in different images and noise images. The experimental results show that five kinds of texture coarseness measurement algorithm have different textural performance, rotation invariance and algorithm robustness. A reference model was given to select diffcrent algorithm of texture coarseness measurement algorithm based on different application.

Key words: Textural coarseness,Textural perfortnance,Rotation invariance,Robustness