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A Markov random field model for extracting near-circular shapes

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

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


Authors

T. Blaskovics

Z. Kato



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). A Markov random field model for extracting near-circular shapes. In 2009 IEEE International Conference on Image Processing ICIP 2009 ; proceedings (1073-1076). https://doi.org/10.1109/icip.2009.5413472

Conference Name 16th IEEE International Conference on Image Processing (ICIP) 2009
Conference Location Cairo
Publication Date Nov 1, 2009
Deposit Date Aug 12, 2011
Publicly Available Date Mar 28, 2024
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

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© 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.





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