Statistical Image Processing Techniques for Noisy Images, 2004 An Application-Oriented Approach
Langue : Anglais
Auteurs : Réfrégier Phillipe, Goudail François
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.
Date de parution : 11-2013
Ouvrage de 254 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierDate de parution : 12-2003
Ouvrage de 254 p.
Thèmes de Statistical Image Processing Techniques for Noisy Images :
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