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A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects

Nemeth, J.; Kato, Z.; Jermyn, I.H.

A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects Thumbnail


Authors

J. Nemeth

Z. Kato



Contributors

Jacques Blanc-Talon
Editor

Richard Kleihorst
Editor

Wilfried Philips
Editor

Dan Popescu
Editor

Paul Scheunders
Editor

Abstract

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.

Citation

Nemeth, J., Kato, Z., & Jermyn, I. (2011). A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects. In J. Blanc-Talon, R. Kleihorst, W. Philips, D. Popescu, & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, proceedings (171-182). https://doi.org/10.1007/978-3-642-23687-7_16

Conference Name 13th International Conference Advanced Concepts for Intelligent Vision Systems (ACIVS 2011)
Conference Location Ghent
Publication Date Aug 1, 2011
Deposit Date Aug 12, 2011
Publicly Available Date Apr 13, 2016
Pages 171-182
Series Title Lecture notes in computer science
Series Number 8192
Series ISSN 0302-9743
Book Title Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, proceedings
ISBN 9783642236860
DOI https://doi.org/10.1007/978-3-642-23687-7_16
Public URL https://durham-repository.worktribe.com/output/1158096

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