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Markov and Non-Markov Gibbs Image Models

  • Georgy L. Gimel’farb
Part of the Computational Imaging and Vision book series (CIVI, volume 16)

Abstract

We start this chapter with a brief overview of traditional Markov/Gibbs image models and then present new Markov and non-Markov models with multiple pairwise pixel interactions. These latter models proposed first in (Gimel’farb, 1996a)–(Gimel’farb, 1997a) generalize the traditional models in the following directions.

Keywords

Training Sample Gray Level Interaction Structure Image Texture Grayscale Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • Georgy L. Gimel’farb
    • 1
  1. 1.The University of AucklandAucklandNew Zealand

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