2012
An introduction to planar random tessellation models
Publication
Publication
Spatial Statistics , Volume 1 - Issue 1 p. 40- 49
The goal of this paper is to give an overview of random tessellation
models. We discuss the classic isotropic Poisson line tessellation
in some detail and then move on to more complicated models, including
Arak-Clifford-Surgailis polygonal Markov fields and their
Gibbs field counterparts, crystal growth models such as the
Poisson-Voronoi, Johnson-Mehl and Laguerre random tessellations, and
the STIT nesting scheme. An extensive list of references is included
as a guide to the literature.
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Elsevier | |
Spatial Statistics | |
Segmentation and motion analysis using polygonal Markov Fields | |
Organisation | Stochastics |
van Lieshout, M.-C. (2012). An introduction to planar random tessellation models. Spatial Statistics, 1(1), 40–49. |