Stochastic geometry for image analysis /

"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...

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Bibliographic Details
Other Authors: Descombes, Xavier
Format: eBook
Language:English
Published: London : ISTE ; 2012.
Hoboken, NJ : Wiley, 2012.
Series:Digital signal and image processing series.
Subjects:
Online Access:Full Text via HEAL-Link
Description
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, biological and medical imaging, are detailed. This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling"--
Physical Description:1 online resource (x, 345 pages) : illustrations.
Bibliography:Includes bibliographical references and index.
ISBN:9781118601235
1118601238
9781118601327
1118601327
9781118601136
1118601130
DOI:10.1002/9781118601235