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Statistical Image Processing Techniques for Noisy Images

An Application-Oriented Approach

Statistical Image Processing Techniques for Noisy Images
Author
Goudail, Francois/ Refregier, Philippe 
Publisher
Kluwer Academic Publishers 
Publication Date
Dec, 2003 
ISBN
030647865X or 9780306478659
HARDCOVER 
254 Pages
出版済み 3-5週間でお届けいたします。
The delivery time takes 3 to 5 weeks

¥ 11,398 (tax included)

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.

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