Texture analysis and synthesis: a review of recent advances
Vidya B. Manian, Ramon E. Vasquez · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
Texture analysis and synthesis methods are reviewed in this paper. Emphasis is given to recent developments in this field. As anaysis and synthesis are important in current texture based image processign and comptuer vision techniques, methods in both areas are categorized. Apart from the known categories of statistical, stuctural, model based methods, new categories are formed that include cellular automata methods, multiresolution/multiscale methods, evaolutionary methods and neural network methods. As texture is a perceptual visual cue used by the biological visual system, the biolgical basis of each method is presented. The advantages and disadvantages of each method for performgin robust texture classification are highlighted. Also, the main area of applicability of the methods and their feasibility to real-time processing are discussed. The paper gives a concise state of the art summary and analysis of texture methods used today in image processing and one can assess how close one is to the robustness and versatility of the human visual system.