Stochastic geometry for image analysis

Xavier Descombes 1, 2
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, SIS - Signal, Images et Systèmes
2 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
Abstract : This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for estimating parameters are reviewed. Numerous applications, covering remote sensing images, biological and medical imaging, are detailed. This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling
Type de document :
Direction d'ouvrage, Proceedings
Xavier Descombes. France. Wiley-ISTE, pp.384, 2011, 978-1-84821-240-4
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https://hal.inria.fr/hal-00793677
Contributeur : Xavier Descombes <>
Soumis le : vendredi 22 février 2013 - 17:38:14
Dernière modification le : jeudi 1 septembre 2016 - 01:04:09

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  • HAL Id : hal-00793677, version 1

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Xavier Descombes. Stochastic geometry for image analysis. Xavier Descombes. France. Wiley-ISTE, pp.384, 2011, 978-1-84821-240-4. <hal-00793677>

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