Overview
- Examines the various uses of splines in the area of Image Processing and Machine Vision
- Includes all significant splines as well as the latest one - the wavelet spline
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Table of contents (10 chapters)
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Front Matter
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Intermediate Steps
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Front Matter
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Advanced Methodologies
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Front Matter
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Back Matter
Keywords
About this book
Digital image processing and machine vision have grown considerably during the last few decades. Of the various techniques, developed so far, splines play a significant role in many of them. This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Polynomial in splines, detailed coverage of Beta-splines applications which are relatively new, Splines in motion tracking, various deformative models and their uses.
Finally the book covers wavelet splines which are efficient and effective in different image applications.
Editors and Affiliations
Bibliographic Information
Book Title: Bézier and Splines in Image Processing and Machine Vision
Editors: Sambhunath Biswas, Brian C. Lovell
DOI: https://doi.org/10.1007/978-1-84628-957-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84628-956-9Published: 09 January 2008
Softcover ISBN: 978-1-84996-687-0Published: 13 October 2010
eBook ISBN: 978-1-84628-957-6Published: 20 December 2007
Edition Number: 1
Number of Pages: XVIII, 246
Number of Illustrations: 73 b/w illustrations
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics