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Proceedings Paper

Texture analysis and synthesis: a review of recent advances
Author(s): Vidya B. Manian; Ramon E. Vasquez
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Paper Abstract

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.

Paper Details

Date Published: 8 August 2003
PDF: 9 pages
Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); doi: 10.1117/12.488206
Show Author Affiliations
Vidya B. Manian, Univ. of Puerto Rico/Mayaguez (United States)
Ramon E. Vasquez, Univ. of Puerto Rico/Mayaguez (United States)


Published in SPIE Proceedings Vol. 5108:
Visual Information Processing XII
Zeno J. Geradts; Zia-ur Rahman; Lenny I. Rudin; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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