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

Phillipe Réfrégier

ISBN 10: 1461346924 / ISBN 13: 9781461346920

Edité par Springer, 2014

A propos de cet article

267 pages. 9.25x6.10x0.62 inches. In Stock.

N° de réf. du vendeur x-1461346924

Détails bibliographiques

• Titre: Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
• Éditeur: Springer
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 1461346924
• ISBN à 13 chiffres: 9781461346920
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

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.