Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach - Couverture rigide

Réfrégier, Phillipe; Goudail, François

 
9780306478659: Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach

Synopsis

Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.

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Autres éditions populaires du même titre

9781461346920: Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach

Edition présentée

ISBN 10 :  1461346924 ISBN 13 :  9781461346920
Editeur : Springer, 2013
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