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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach

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

Réfrégier, Phillipe
Goudail, François

Paperback

Technology & EngineeringGeneral ComputersProgramming

ISBN10: 1461346924
ISBN13: 9781461346920
Publisher: Springer Nature
Published: Nov 17 2013
Pages: 254
Weight: 0.85
Height: 0.57 Width: 6.14 Depth: 9.21
Language: English
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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