| and (2008) | |||||||||||||||
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 introduced by Arak and Surgailis and a few variants thereof, such as those arising in Bayesian analysis of such random fields. Extensions to generalized polygonal random fields are presented wherein the segmentation boundaries are not necessarily straight line segments. Key words:polygonal random fields, generalized polygonal random fields, reversible Markov pro-cess, interacting particle system, Monte Carlo simulation of random fields. 2 1 | |||||||||||||||
Publication details | |||||||||||||||
| |||||||||||||||