Message from Dean - May 8th 2007
I am currently testing out a new version of the APF Bridge Component - If you notice any errors within this demo store please drop me a line.
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Binding: Hardcover
Dewey Decimal Number: 621.367
EAN: 9780306478659
Edition: 1
ISBN: 030647865X
Label: Springer
Manufacturer: Springer
Number Of Items: 1
Number Of Pages: 266
Publication Date: December 31, 2003
Publisher: Springer
Studio: Springer
Alternate Versions: Click to Display
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Product Description:
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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