Stochastic Geometry for Image Analysis
Edited by Xavier Descombes
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Stochastic Geometry for Image Analysis by Xavier Descombes
Book DescriptionThis 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.
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Book DetailsISBN: 9781848212404
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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Reviews of the Fifth Edition: ". a well-established text for undergraduate and graduate students. a good reference for engineers. " ( IEEE Circuits & Devices Magazine, November/December 2006) ". will serve very well for a number of courses in electrical and computing engineering.
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