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Wir sind gerne für Sie daStatistical 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.
Produkteigenschaften
- Artikelnummer: 9781461346920
- Medium: Buch
- ISBN: 978-1-4613-4692-0
- Verlag: Springer
- Erscheinungstermin: 17.11.2013
- Sprache(n): Englisch
- Auflage: 2004
- Produktform: Kartoniert, Paperback
- Gewicht: 417 g
- Seiten: 254
- Format (B x H x T): 155 x 235 x 15 mm
- Ausgabetyp: Kein, Unbekannt