A Markov random field model for extracting near-circular shapes

Blaskovics, T.; Kato, Z.; Jermyn, I.H.

Abstract

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.

Citation

Blaskovics, T., Kato, Z., & Jermyn, I. (2009, November). A Markov random field model for extracting near-circular shapes. Presented at 16th IEEE International Conference on Image Processing (ICIP) 2009, Cairo

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 16th IEEE International Conference on Image Processing (ICIP) 2009
• Publication Date: Nov 1, 2009
• Deposit Date: Aug 12, 2011
• Publicly Available Date: Jun 27, 2017
• Pages: 1073-1076
• Series ISSN: 1522-4880
• Book Title: 2009 IEEE International Conference on Image Processing ICIP 2009 ; proceedings.
• DOI: https://doi.org/10.1109/icip.2009.5413472
• Public URL: https://durham-repository.worktribe.com/output/1159146