A new method for texture classification and its application in texture synthesis

This paper gives an analysis of the matching process in patch-based sampling texture synthesis algorithm, and finds that the matching process takes up most of the time when synthesizing textures. But for a certain type of textures, with their texture features distributed uniformly, we can omit the matching process when they are synthesized, or make the matching roughly. We propose a novel character of images called balance coefficient that can be used to calculate texture standard coefficient and estimate texture standard property, and apply it to texture synthesis. Compared to the time complexity of general patch-based sampling algorithm, our algorithm can accelerate the synthesis and obtain a good result.