| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 527450 | Image and Vision Computing | 2007 | 14 Pages |
Abstract
We propose a new definition and an algorithm for the discrete bisector function, which is an important tool for analyzing and filtering Euclidean skeletons. We also introduce a new thinning algorithm which produces homotopic discrete Euclidean skeletons. These algorithms, which are valid both in 2D and 3D, are integrated in a skeletonization method which is based on exact transformations, allows the filtering of skeletons, and is computationally efficient.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Michel Couprie, David Coeurjolly, Rita Zrour,
