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

Maria Kulikova 1 Ian Jermyn 1 Xavier Descombes 1 Josiane Zerubia 1 Elena Zhizhina 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
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.
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Communication dans un congrès
SITIS, Nov 2009, Marakech, Morocco. 7 p., 2009
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Maria Kulikova, Ian Jermyn, Xavier Descombes, Josiane Zerubia, Elena Zhizhina. A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects.. SITIS, Nov 2009, Marakech, Morocco. 7 p., 2009. 〈inria-00436320〉

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