Phillipe Réfrégier, François Goudail

Statistical Image Processing Techniques for Noisy Images (eBook, PDF)

An Application-Oriented Approach

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer US
• Seitenzahl: 254
• Erscheinungstermin: 22. November 2013
• Englisch
• ISBN-13: 9781441988553
• Artikelnr.: 44052353