Chapter 8. Bayesian Inference and Markov Models

  1. Patrick Siarry
  1. Christophe Collet

Published Online: 27 JAN 2010

DOI: 10.1002/9780470611319.ch8

Optimization in Signal and Image Processing

Optimization in Signal and Image Processing

How to Cite

Collet, C. (2009) Bayesian Inference and Markov Models, in Optimization in Signal and Image Processing (ed P. Siarry), ISTE, London, UK. doi: 10.1002/9780470611319.ch8

Publication History

  1. Published Online: 27 JAN 2010
  2. Published Print: 1 JAN 2009

ISBN Information

Print ISBN: 9781848210448

Online ISBN: 9780470611319

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Keywords:

  • markov modeling;
  • bayesian inference;
  • general modeling;
  • segmentation;
  • seabeds

Summary

This chapter contains sections titled:

  • Introduction and application framework

  • Detection, segmentation and classification

  • General modeling

  • Segmentation using the causal-in-scale Markov model

  • Segmentation into three classes

  • The classification of objects

  • The classification of seabeds

  • Conclusion and perspectives

  • Bibliography