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

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Description


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.
Product Details
ISBN: 9781461346920
ISBN-10: 1461346924
Publisher: Springer
Publication Date: November 17th, 2013
Pages: 254
Language: English