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
Link To Document :
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