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

Réfrégier, Phillipe; Goudail, François

Hardcover

ISBN 10: 030647865X ISBN 13: 9780306478659

Verlag: Springer, 2003

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Philippe Refregier is Professor in the School of Physics in Marseille (ENSPM) and heads the Physics and Image Processing group of the Fresnel Institute, UMR CNRS 6133.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2003
• Sprache: Englisch
• ISBN 10: 030647865X
• ISBN 13: 9780306478659
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 267
• Kontakt zum Hersteller: Springer-Verlag GmbH; customerservice@springernature.com; ; Tiergartenstraße 17; Heidelberg; Baden-Württemberg; 69121; Deutschland