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

Kulikova, M.S.; Jermyn, I.H.; Descombes, X.; Zhizhina, E.; Zerubia, J.

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


Authors

M.S. Kulikova

X. Descombes

E. Zhizhina

J. Zerubia



Contributors

Kokou Yetongnon
Editor

Richard Chbeir
Editor

Albert Dipanda
Editor

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.

Citation

Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2009). A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects. In K. Yetongnon, R. Chbeir, & A. Dipanda (Eds.), The Fifth International Conference on Signal Image Technology & Internet Based Systems SITIS 2009 ; proceedings (180-186). https://doi.org/10.1109/sitis.2009.38

Conference Name Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2009
Conference Location Marrakesh
Publication Date Dec 1, 2009
Deposit Date Aug 12, 2011
Publicly Available Date Apr 15, 2016
Publisher Institute of Electrical and Electronics Engineers
Pages 180-186
Book Title The Fifth International Conference on Signal Image Technology & Internet Based Systems SITIS 2009 ; proceedings
DOI https://doi.org/10.1109/sitis.2009.38
Public URL https://durham-repository.worktribe.com/output/1158080

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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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