DocumentCode
3166906
Title
Achieving a More Accurate Skeleton through the Refinement of Skeletonization Triangles
Author
Morrison, Paul ; Zou, Ju Jia
Author_Institution
University of Western Sydney
fYear
205
fDate
6-8 Dec. 205
Firstpage
49
Lastpage
49
Abstract
Skeletonization using the Constrained Delaunay Triangulation technique has proven very effective, with respect to efficiency, accuracy and robustness against noise. This paper presents three algorithms that further improve this successful skeletonization method. Each of the three algorithms presented here deals with the refinement of the three types of triangles produced by triangulation, namely end triangles, normal triangles and junction triangles. Results show that these algorithms produce a skeleton that complies much better to a human’s perception of the underlying image, without detracting from the superior efficiency inherent in the original triangulation method.
Keywords
Australia; Design engineering; Feature extraction; Image processing; Noise robustness; Refining; Shape; Skeleton; Topology; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Computing: Techniques and Applications, 2005. DICTA '05. Proceedings 2005
Conference_Location
Queensland, Australia
Print_ISBN
0-7695-2467-2
Type
conf
DOI
10.1109/DICTA.2005.10
Filename
1587651
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