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Texture, Structure, and Pairwise Interactions

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

Abstract

In this chapter we will consider at some length what an image texture means for human and computer vision. Also, this chapter presents the ba­sic theoretical background of probabilistic image modelling by Gibbs and Markov random fields. Modern theory of random fields is extremely deep and intricated, but we will explore in this book only rather simple features of Gibbs random fields that are necessary to study the image models and modelling techniques under consideration.

Keywords

Random Field Image Texture Markov Random Field Parent Population PAIRWISE Interaction 
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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