Statistical Image Processing Techniques for Noisy Images
An Application-Oriented Approach
Seiten
2013
Springer-Verlag New York Inc.
978-1-4613-4692-0 (ISBN)
Springer-Verlag New York Inc.
978-1-4613-4692-0 (ISBN)
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 |
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