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

By Francois Goudail and Phillipe Réfrégier

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1461346924
• ISBN13: 9781461346920
• Release Date: November 2013
• Publisher: Springer
• Length: 254 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"