LEADER 00000cam  2200517 a 4500 
001    751824143 
003    OCoLC 
005    20120502214226.0 
008    110930s2012    enka     b    001 0 eng   
010    2011036864 
020    9781848212404 (hardback) 
020    1848212402 (hardback) 
035    (OCoLC)751824143|z(OCoLC)670479687|z(OCoLC)769541610 
040    DLC|cDLC|dYDX|dBTCTA|dYDXCP|dUKMGB|dBWK|dCDX|dBWX|dBDX
       |dPUL 
042    pcc 
050 00 TA1637|b.S76 2012 
082 00 621.36/70151922|223 
245 00 Stochastic geometry for image analysis /|cedited by Xavier
       Descombes 
260    London :|bISTE ;|aHoboken, NJ :|bWiley,|c2012 
300    x, 345 p. :|bill. ;|c24 cm 
490 1  Digital signal and image processing series 
504    Includes bibliographical references and index 
520    "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"--
       |cProvided by publisher 
650  0 Image processing|xStatistical methods 
650  0 Stochastic geometry 
650  7 TECHNOLOGY & ENGINEERING / Imaging Systems.|2bisacsh 
700 1  Descombes, Xavier 
830  0 Digital signal and image processing series 
LOCATION CALL # STATUS OPACMSG BARCODE
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