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Statistical Image Processing Techniques for Noisy Images

Autor Phillipe Réfrégier, François Goudail
en Limba Engleză Hardback – 31 dec 2003
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.
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Specificații

ISBN-13: 9780306478659
ISBN-10: 030647865X
Pagini: 254
Ilustrații: XIII, 254 p. 93 illus.
Dimensiuni: 150 x 237 x 13 mm
Greutate: 0.6 kg
Ediția:2004 edition
Editura: Springer Us
Locul publicării:New York, NY, United States

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