Statistical Image Processing Techniques for Noisy Images

Language: English

Published by Springer, Springer Nov 2013, 2013

1461346924 / 9781461346920

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.

Seller Inventory # 9781461346920

Title
Statistical Image Processing Techniques for Noisy Images
Author
Phillipe Réfrégier
Publisher
Springer, Springer Nov 2013
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461346924
ISBN 13
9781461346920
Item weight
417 grams
Dimensions
235x155x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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