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

Refregier, Phillipe

ISBN 10: 1461346924 / ISBN 13: 9781461346920

Editore: Springer 2013-11, 2013

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Codice articolo 6666-IUK-9781461346920

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Titolo: Statistical Image Processing Techniques for ...

Casa editrice: Springer 2013-11

Data di pubblicazione: 2013

Legatura: PF

Condizione: New

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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.