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Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Paperback)
  • Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Paperback)
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Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Paperback)

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£54.99
Paperback 254 Pages / Published: 17/11/2013
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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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461346920
Number of pages: 254
Weight: 421 g
Dimensions: 235 x 155 x 14 mm
Edition: 2004 ed.

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