Stochastic geometry for image analysis / edited by Xavier Descombes.

Contributor(s):

Descombes, Xavier

Publication details: London : Wiley, 2012.Description: x, 345 p. : ill. ; 24 cmISBN:

9781848212404 (hbk.)

Subject(s):

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'-- Provided by publisher.

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Holdings
Item type	Current library	Home library	Call number	Materials specified	Copy number	Status	Date due	Barcode
AM	PERPUSTAKAAN LINGKUNGAN KEDUA	PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA	TA1637.S736 3 (Browse shelf(Opens below))		1	Available		00002082432

Includes bibliographical references and index.

'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'-- Provided by publisher.

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Stochastic geometry for image analysis / edited by Xavier Descombes.

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