Description

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.

Stochastic Geometry for Image Analysis

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Hardback by Xavier Descombes

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This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 25/11/2011
    ISBN13: 9781848212404, 978-1848212404
    ISBN10: 1848212402

    Number of Pages: 384

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    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.

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