| 书目名称 | Geometric Curve Evolution and Image Processing | | 编辑 | Frédéric Cao | | 视频video | | | 概述 | Includes supplementary material: | | 丛书名称 | Lecture Notes in Mathematics | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2003 | | 关键词 | Applied Mathematics; Numerical Analysis; computer vision; curvature; image processing; partial differenti | | 版次 | 1 | | doi | https://doi.org/10.1007/b10404 | | isbn_softcover | 978-3-540-00402-8 | | isbn_ebook | 978-3-540-36392-7Series ISSN 0075-8434 Series E-ISSN 1617-9692 | | issn_series | 0075-8434 | | copyright | Springer-Verlag Berlin Heidelberg 2003 |
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发表于 2025-3-21 19:14:18
