Author : Phillipe Réfrégier,François Goudail
Publisher : Springer Science & Business Media
Page : 261 pages
File Size : 54,6 Mb
Release : 2013-11-22
Category : Computers
ISBN : 9781441988553
Statistical Image Processing Techniques for Noisy Images by Phillipe Réfrégier,François Goudail Pdf
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.