Nemeth, J. and Kato, Z. and Jermyn, I.H. (2011) 'A multi-layer 'gas of circles' Markov random field model for the extraction of overlapping near-circular objects.', in Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, proceedings. Heidelberg: Springer, pp. 171-182. Lecture notes in computer science. (8192).
We propose a multi-layer binary Markov random field (MRF) model that assigns high probability to object configurations in the image domain consisting of an unknown number of possibly touching or overlapping near-circular objects of approximately a given size. Each layer has an associated binary field that specifies a region corresponding to objects. Overlapping objects are represented by regions in different layers. Within each layer, long-range interactions favor connected components of approximately circular shape, while regions in different layers that overlap are penalized. Used as a prior coupled with a suitable data likelihood, the model can be used for object extraction from images, e.g. cells in biological images or densely-packed tree crowns in remote sensing images. We present a theoretical and experimental analysis of the model, and demonstrate its performance on various synthetic and biomedical images.
|Item Type:||Book chapter|
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||http://dx.doi.org/10.1007/978-3-642-23687-7_16|
|Publisher statement:||The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-23687-7_16|
|Date accepted:||No date available|
|Date deposited:||13 April 2016|
|Date of first online publication:||August 2011|
|Date first made open access:||No date available|
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