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

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.

Summary

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.

Product details

• Authors: Francois Goudail, François Goudail, Philippe Refregier, Phillipe Refregier, Phillipe Réfrégier
• Publisher: Springer Netherlands
• Languages: English
• Product format: Hardback
• Released: 01.01.2004
• EAN: 9780306478659
• ISBN: 978-0-306-47865-9
• No. of pages: 266
• Weight: 601 g
• Illustrations: 93 SW-Abb.,
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Laser, C, Statistics, computer science, Computer Vision, Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Lasers, Optical physics, Photonics, Applied optics, Optics, Lasers, Photonics, Optical Devices, Geographical information systems & remote sensing, Probability & statistics, Geographical Information System, Optical data processing, Remote sensing, Remote Sensing/Photogrammetry