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A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects.

Kulikova, M.S. and Jermyn, I.H. and Descombes, X. and Zhizhina, E. and Zerubia, J. (2009) 'A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects.', in The Fifth International Conference on Signal Image Technology & Internet Based Systems SITIS 2009 ; proceedings. Piscataway, NJ: IEEE, pp. 180-186.

Abstract

We define a method for incorporating strong prior shape information into a recently extended Markov point process model for the extraction of arbitrarily-shaped objects from images. To estimate the optimal configuration of objects, the process is sampled using a Markov chain based on a stochastic birth-and-death process defined in a space of multiple objects. The single objects considered are defined by both the image data and the prior information in a way that controls the computational complexity of the estimation problem. The method is tested via experiments on a very high resolution aerial image of a scene composed of tree crowns.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1109/SITIS.2009.38
Publisher statement:© 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.
Date accepted:No date available
Date deposited:15 April 2016
Date of first online publication:December 2009
Date first made open access:No date available

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