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Stochastic Geometry for Image Analysis
Xavier . Ed(S): Descombes
€ 180.46
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Description for Stochastic Geometry for Image Analysis
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. Editor(s): Descombes, Xavier. Num Pages: 356 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 25. Weight in Grams: 684.
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.
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.
Product Details
Publication date
2011
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
356
Condition
New
Number of Pages
384
Format
Hardback
Place of Publication
London, United Kingdom
ISBN
9781848212404
SKU
V9781848212404
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Xavier . Ed(S): Descombes
Xavier Descombes, Director of Research INRIA, EPI Ariana
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