Stochastic Geometry for Image Analysis

First published 2012 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

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The rights of Xavier Descombes to be identified as the author of this work have been asserted by him in accordance with the Copyright, Designs and Patents Act 1988.

Library of Congress Cataloging-in-Publication Data

Stochastic geometry for image analysis / edited by Xavier Descombes.

        p. cm.

  Summary: “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, ...