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2009
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A Markov Random Field Model for Extracting Near-Circular Shapes

10 years 16 days ago
A Markov Random Field Model for Extracting Near-Circular Shapes
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 resultingMRF 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.
Tamas Blaskovics, Zoltan Kato, and Ian Jermyn
Added 05 Jan 2010
Updated 05 Jan 2010
Type Conference
Year 2009
Where ICIP
Authors Tamas Blaskovics, Zoltan Kato, and Ian Jermyn
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