Statistical Image Processing Techniques for Noisy Images

An Application-Oriented Approach

Phillipe Réfrégier, François Goudail (Autoren)

Buch | Softcover

254 Seiten

2013 | 2004 ed.
Springer-Verlag New York Inc.
978-1-4613-4692-0 (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.

Zusatzinfo	93 Illustrations, black and white; XIII, 254 p. 93 illus.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Statistik
	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
	Technik
ISBN-10	1-4613-4692-4 / 1461346924
ISBN-13	978-1-4613-4692-0 / 9781461346920
Zustand	Neuware