Statistical Image Processing Techniques for Noisy Images

Statistical Image Processing Techniques for Noisy Images
Author :
Publisher : Springer Science & Business Media
Total Pages : 261
Release :
ISBN-10 : 9781441988553
ISBN-13 : 1441988556
Rating : 4/5 (53 Downloads)

Book Synopsis Statistical Image Processing Techniques for Noisy Images by : Phillipe Réfrégier

Download or read book Statistical Image Processing Techniques for Noisy Images written by Phillipe Réfrégier and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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