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

Réfrégier, Phillipe, Goudail, François

ISBN 10: 030647865X / ISBN 13: 9780306478659

Editore: Springer, 2003

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Titolo: Statistical Image Processing Techniques for ...

Casa editrice: Springer

Data di pubblicazione: 2003

Legatura: Hardcover

Condizione: Like New

Tipologia articolo: book

Descrizione articolo

Riassunto:

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.

Informazioni sull?autore:

Philippe Refregier is Professor in the School of Physics in Marseille (ENSPM) and heads the Physics and Image Processing group of the Fresnel Institute, UMR CNRS 6133.