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

Phillipe Refregier

ISBN 10: 1461346924 / ISBN 13: 9781461346920

Editore: Springer-Verlag New York Inc., 2013

Riguardo questo articolo

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 416. Codice articolo C9781461346920

Dati bibliografici

Titolo: Statistical Image Processing Techniques for ...

Casa editrice: Springer-Verlag New York Inc.

Data di pubblicazione: 2013

Legatura: Paperback / softback

Condizione: New

Descrizione articolo

Riassunto:

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.