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Table of contents (24 chapters)
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Front Matter
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Level Set Methods & Lagrangian Approaches
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Front Matter
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Edge Detection & Boundary Extraction
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Front Matter
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Scalar & Vector Image Reconstruction, Restoration
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Front Matter
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Knowledge-based Segmentation & Registration
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Front Matter
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About this book
Authors and Affiliations
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Department of Mathematics, UCLA, Los Angeles, USA
Stanley Osher
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Imaging and Visualizing Department, Siemens Corporate Research, Princeton, USA
Nikos Paragios
Bibliographic Information
Book Title: Geometric Level Set Methods in Imaging, Vision, and Graphics
Authors: Stanley Osher, Nikos Paragios
DOI: https://doi.org/10.1007/b97541
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Hardcover ISBN: 978-0-387-95488-2Published: 17 July 2003
Softcover ISBN: 978-1-4419-3023-1Published: 14 December 2011
eBook ISBN: 978-0-387-21810-6Published: 08 May 2007
Edition Number: 1
Number of Pages: XXIX, 513
Number of Illustrations: 181 b/w illustrations
Topics: Image Processing and Computer Vision, Computer Graphics, Pattern Recognition, Computational Mathematics and Numerical Analysis, Signal, Image and Speech Processing