Stochastic geometry for image analysis
Stochastic geometry for image analysis
edited by Xavier Descombes.
- Great Britain : Wiley and sons; 2012
- x, 345 p. 23 cm.
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"--
9781848212404 (hardback)
2011036864
Image processing--Statistical methods.
Stochastic geometry.
TECHNOLOGY & ENGINEERING / Imaging Systems.
TA1637 / .S76 2011
621.3670151922 DES/Sto
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"--
9781848212404 (hardback)
2011036864
Image processing--Statistical methods.
Stochastic geometry.
TECHNOLOGY & ENGINEERING / Imaging Systems.
TA1637 / .S76 2011
621.3670151922 DES/Sto