Stochastic Geometry for Image Analysis
Stochastic Geometry for Image Analysis
- New Jersey : John Wiley, 2012.
- x, 345p.
- Digital signal and image processing series .
Includes Bibliography 325-340p.and Index 343-345p.
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
Image analysis.
Stochastic geometry.
Statistics.
Includes Bibliography 325-340p.and Index 343-345p.
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
Image analysis.
Stochastic geometry.
Statistics.