Stochastic Geometry for Image Analysis (Hardcover)

Xavier Descombes

ISBN 10: 1848212402 / ISBN 13: 9781848212404

Edité par ISTE Ltd and John Wiley & Sons Inc, London, 2011

A propos de cet article

Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N° de réf. du vendeur 9781848212404

Détails bibliographiques

• Titre: Stochastic Geometry for Image Analysis (Hardcover)
• Éditeur: ISTE Ltd and John Wiley & Sons Inc, London
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 1848212402
• ISBN à 13 chiffres: 9781848212404
• Reliure: Hardcover
• Édition: Edition originale
• État de l'article: new

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Xavier Descombes is currently research director at INRIA (French research institute dedicated to digital science and technology). His research interests include Markov random fields, stochastic geometry and stochastic modeling in image processing.