Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28613
Title: An efficient and accurate algorithm for extracting a skeleton
Authors: Choi, WP
Lam, KM 
Siu, WC 
Issue Date: 2000
Source: Proceedings - International Conference on Pattern Recognition, 2000, v. 15, no. 3, p. 742-745 How to cite?
Abstract: The skeleton is an important feature in the representation of a shape in image analysis. In this paper, a non-iterative method is proposed, which is fast, efficient, and more importantly, is robust to boundary noise and rotation. Unnecessary branches and hairs, can be reduced by the adjustment of the residual distance and the skeleton can be represented in a hierarchical manner. The reconstruction error can also be estimated using the residual distance. A new definition of a skeleton and the criteria of being a skeleton point are introduced. The effect of boundary noise and curved boundary are investigated and compared to other skeletonization algorithms. Finally, the reconstruction of an object using its skeleton and the associated radii of the maximal disks is illustrated.
URI: http://hdl.handle.net/10397/28613
ISBN: 0-7695-0750-6
ISSN: 1051-4651
DOI: 10.1109/ICPR.2000.903651
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

5
Last Week
0
Last month
Citations as of Nov 11, 2017

Page view(s)

65
Last Week
9
Last month
Checked on Nov 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.