Statistical Image Processing Techniques for Noisy Images

An Application-Oriented Approach

Phillipe Réfrégier, François Goudail (Autoren)

Buch | Hardcover

254 Seiten

2003 | 2004 ed.
Kluwer Academic / Plenum Publishers (Verlag)
978-0-306-47865-9 (ISBN)

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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.

Erscheint lt. Verlag	31.12.2003
Zusatzinfo	93 Illustrations, black and white; XIII, 254 p. 93 illus.
Verlagsort	Dordrecht
Sprache	englisch
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Nachrichtentechnik
ISBN-10	0-306-47865-X / 030647865X
ISBN-13	978-0-306-47865-9 / 9780306478659
Zustand	Neuware