Stochastic Geometry for Image Analysis (ePub)
(Sprache: Englisch)
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...
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...
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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.
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.
Autoren-Porträt
Xavier Descombes, Director of Research INRIA, EPI Ariana
Bibliographische Angaben
- 2013, 1. Auflage, 384 Seiten, Englisch
- Herausgegeben: Xavier Descombes
- Verlag: John Wiley & Sons
- ISBN-10: 1118601130
- ISBN-13: 9781118601136
- Erscheinungsdatum: 06.05.2013
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- Dateiformat: ePub
- Größe: 13 MB
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Sprache:
Englisch
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