Stochastic geometry for image analysis /

Stochastic geometry for image analysis /

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Bibliographic Details
Imprint:	London : Iste ; Hoboken, NJ : Wiley, 2012.
Description:	x, 345 p. : ill. ; 24 cm.
Language:	English
Series:	Digital signal and image processing series Digital signal and image processing series.
Subject:	Image processing -- Statistical methods. Stochastic geometry.
Format:	Print Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8624064

Hidden Bibliographic Details
Other authors / contributors:	Descombes, Xavier.
ISBN:	9781848212404 (hardback) 1848212402 (hardback)
Notes:	Includes bibliographical references and index.
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"--

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:	x, 345 p. : ill. ; 24 cm.
Bibliography:	Includes bibliographical references and index.
ISBN:	9781848212404 1848212402