Stochastic Geometry for Image Analysis
Edited by Xavier Descombes
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Stochastic Geometry for Image Analysis by Xavier Descombes
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.
Classification: Electronics & communications engineering
Format: Hardback (239mm x 162mm x 29mm)
Imprint: ISTE Ltd and John Wiley & Sons Inc
Publisher: ISTE Ltd and John Wiley & Sons Inc
Publish Date: 25-Nov-2011
Country of Publication: United Kingdom
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