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A marked point process model including strong prior shape information applied to multiple object extraction from images.

Kulikova, M.S. and Jermyn, I.H. and Descombes, X. and Zhizhina, E. and Zerubia, J. (2011) 'A marked point process model including strong prior shape information applied to multiple object extraction from images.', International journal of computer vision and image processing., 1 (2). pp. 1-12.

Abstract

Object extraction from images is one of the most important tasks in remote sensing image analysis. For accurate extraction from very high resolution (VHR) images, object geometry needs to be taken into account. A method for incorporating strong yet flexible prior shape information into a marked point process model for the extraction of multiple objects of complex shape is presented. To control the computational complexity, the objects considered are defined using the image data and the prior shape information. To estimate the optimal configuration of objects, the process is sampled using a Markov chain based on a stochastic birth-and-death process on the space of multiple objects. The authors present several experimental results on the extraction of tree crowns from VHR aerial images.

Item Type:Article
Keywords:Active Contour, Marked Point Process, Multiple Birth-and-Death Dynamics, Multiple Object Extraction, Shape Prior.
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.4018/ijcvip.2011040101
Publisher statement:This paper appears in International journal of computer vision and image processing authored by Kulikova, M.S. and Jermyn, I.H. and Descombes, X. and Zhizhina, E. and Zerubia, J. Copyright 2012, IGI Global, www.igi-global.com. Posted by permission of the publisher
Date accepted:No date available
Date deposited:24 February 2016
Date of first online publication:April 2011
Date first made open access:No date available

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