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|Title:||Stability of some segmentation methods based on markov random fields for analysis of aero and space images|
|Citation:||Pavlyuk E. Stability of some segmentation methods based on markov random fields for analysis of aero and space images / E. Pavlyuk. — DOI 10.12988/ams.2014.311642 // Applied Mathematical Sciences. — 2014. — Vol. 8. — Iss. 5-8. — P. 391-396.|
|Abstract:||The paper is devoted to the stability of image segmentation methods based on Markov random fields for analysis of aero and space image with a Gaussian noise and blur. Segmentation problem is formulated in terms of finding a Bayes labeling of an Markov random field with maximum of a posteriori probability by the method of "simulated annealing". We study stability of variants of the algorithm using the Metropolis and Gibbs sampling, the system of neighborhoods with 8 and 24 neighbors and various coefficients of temperature reduction. © 2014 Evgeny Pavlyuk.|
MARKOV RANDOM FIELDS
|Appears in Collections:||Научные публикации, проиндексированные в SCOPUS и WoS CC|
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