Borkar, V. S. ; Mitter, S. K. (1996) Stochastic processes that generate polygonal and related random fields IEEE Transactions on Information Theory, 42 (2). pp. 606-617. ISSN 0018-9448
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Related URL: http://dx.doi.org/10.1109/18.485728
Abstract
A reversible, ergodic, Markov process taking values in the space of polygonally segmented images is constructed. The stationary distribution of this process can be made to correspond to a Gibbs-type distribution for polygonal random fields as introduced by Arak and Surgailis (1989) and a few variants thereof, such as those arising in Bayesian analysis of random fields. Extensions to generalized polygonal random fields are presented where the segmentation boundaries are not necessarily straight line segments.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| ID Code: | 81436 |
| Deposited On: | 06 Feb 2012 04:56 |
| Last Modified: | 06 Feb 2012 04:56 |
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