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Phillipe Refregier - Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach - 9781461346920 - V9781461346920
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Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach

€ 64.50
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Description for Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach Paperback. Num Pages: 267 pages, 93 black & white illustrations, biography. BIC Classification: PBT; RGW; TTB; UYQV; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 421.
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 ... Read more

Product Details

Publisher
Springer-Verlag New York Inc.
Format
Paperback
Publication date
2013
Condition
New
Weight
420g
Number of Pages
254
Place of Publication
New York, NY, United States
ISBN
9781461346920
SKU
V9781461346920
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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