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Stochastic geometry for image analysis /

Descombes, Xavier.

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Stochastic geometry for image analysis /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Stochastic geometry for image analysis // edited by Xavier Descombes.
other author:	Descombes, Xavier.
Published:	London :ISTE ; : c2012.,
Description:	x, 345 p. :ill. ;25 cm.
Subject:	Image processing - Statistical methods. -
ISBN:	9781848212404 (hbk.) :

Stochastic geometry for image analysis /
Stochastic geometry for image analysis /edited by Xavier Descombes. - London :ISTE ;c2012. - x, 345 p. :ill. ;25 cm. - Digital signal and image processing series.

Includes bibliographical references (p. [325]-339) 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"--

ISBN: 9781848212404 (hbk.) :US144.95

LCCN: 2011036864Subjects--Topical Terms:

646426
Image processing
--Statistical methods.

LC Class. No.: TA1637 / .S76 2011

Dewey Class. No.: 621.36/70151922

Stochastic geometry for image analysis /
LDR:01281cam 2200205 a 4500 001 1267745
005 20120906150832.0
008 120911s2012 enka b 001 0 eng
010 $a 2011036864
020 $a 9781848212404 (hbk.) : $c US144.95
035 $a AS-BW-101-N-06
040 $a DLC $c DLC
050 0 0 $a TA1637 $b .S76 2011
082 0 0 $a 621.36/70151922 $2 23
090 $a TA/1637/.S76/2012//////W0161272
245 1 0 $a Stochastic geometry for image analysis / $c edited by Xavier Descombes.
260 # $a London : $b ISTE ; $a Hoboken, NJ : $b Wiley, $c c2012.
300 $a x, 345 p. : $b ill. ; $c 25 cm.
490 1 0 $a Digital signal and image processing series
504 $a Includes bibliographical references (p. [325]-339) and index.
520 # $a "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"-- $c Provided by publisher.
650 # 0 $a Image processing $x Statistical methods. $3 646426
650 # 0 $a Stochastic geometry. $3 599045
650 # 7 $a TECHNOLOGY & ENGINEERING / Imaging Systems. $2 bisacsh $3 1536035
700 1 # $a Descombes, Xavier. $3 1536034