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Next: Texture Analysis: an Overview Up: Texture Analysis and Synthesis Previous: Notational Conventions


Texture Analysis and Synthesis: Related Works

The chapter divides main computational approaches to texture analysis into either descriptive or generic and introduces each category separately. In particular, basic concepts, theories and techniques related to Markov-Gibbs random fields (MGRF) are discussed. Two representative MGRF models, namely, auto-models and FRAME model, are introduced in detail. Finally, texture synthesis algorithms by non-parametric sampling are also reviewed.



Subsections

dzho002 2006-02-22