Probabilistic models of digital region maps based on Markov random fields with short- and long-range interaction

Pattern Recognition Letters

Volumn 14, Issue 10, 1993, Pages 789-797

  Gimel'farb, G L ^a   Zalesny, A V ^a  

^a V M GLUSHKOV INSTITUTE OF CYBERNETICS   (Ukraine)

Author keywords

Gibbs distribution; long range interaction; Markov random field; Region map; short range interaction; textural image

Indexed keywords

GIBBS DISTRIBUTION; MARKOV RANDOM FIELD; REGION MAP; TEXTURAL IMAGE;

EID: 0027806462     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(93)90061-H     Document Type: Article

References (13)

1. Segmentation of textured images using Gibbs random fields
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5. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
6. A renormalization group approach to image processing problems
7. Gibbs random fields and compound Bayesian decisions at the lower level of digital image processing
8. Sredstva intellektualizacii kiberneticheskih sistem
9. Low-level Bayesian segmentation of piecewise-homogeneous noisy and textured images
10. A relaxation method for image segmentation using a spatially dependent stochastic model
11. Deterministic Bayesian estimation of Markov random fields with applications to computational vision
12. Image algebra an overview