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Geometric Curve Evolution and Image Processing

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Geometric Curve Evolution and Image Processing Synopsis

In image processing, "motions by curvature" provide an efficient way to smooth curves representing the boundaries of objects. In such a motion, each point of the curve moves, at any instant, with a normal velocity equal to a function of the curvature at this point. This book is a rigorous and self-contained exposition of the techniques of  "motion by curvature". The approach is axiomatic and formulated in terms of geometric invariance with respect to the position of the observer. This is translated into mathematical terms, and the author develops the approach of Olver, Sapiro and Tannenbaum, which classifies all curve evolution equations. He then draws a complete parallel with another axiomatic approach using level-set methods: this leads to generalized curvature motions. Finally, novel, and very accurate, numerical schemes are proposed allowing one to compute the solution of highly degenerate evolution equations in a completely invariant way. The convergence of this scheme is also proved.

About This Edition

ISBN: 9783540004028
Publication date: 27th February 2003
Author: Frédéric Cao
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 187 pages
Series: Lecture Notes in Mathematics
Genres: Differential calculus and equations
Differential and Riemannian geometry
Computer vision