We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham Research Online
You are in:

A Markov random field model for extracting near-circular shapes.

Blaskovics, T. and Kato, Z. and Jermyn, I.H. (2009) 'A Markov random field model for extracting near-circular shapes.', in 2009 IEEE International Conference on Image Processing ICIP 2009 ; proceedings. Piscataway, NJ: IEEE, pp. 1073-1076.


We propose a binary Markov random field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We construct the model by discretizing the `gas of circles' phase field model in a principled way, thereby creating an `equivalent'MRF. The behaviour of the resulting MRF model is analyzed, and the performance of the new model is demonstrated on various synthetic images as well as on the problem of tree crown detection in aerial images.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
Download PDF
Publisher Web site:
Publisher statement:© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:No date available
Date deposited:27 June 2017
Date of first online publication:November 2009
Date first made open access:No date available

Save or Share this output

Look up in GoogleScholar