DocumentCode :
1742264
Title :
Fast skeletonization of spatially encoded objects
Author :
Romero, Francisco ; Ros, Lluis ; Thomas, Federico
Author_Institution :
CSIC, Barcelona, Spain
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
510
Abstract :
Some thinning algorithms for 3D objects, or generalizations of existing ones for 2D, have been proposed in recent years. The paper presents a simple and very fast algorithm compared to most of them, and still it has theoretically favorable properties. It provides a connected surface skeleton that allows shapes to be reconstructed with bounded error. In addition, it is also very attractive because it allows discrete skeletons to be obtained directly from volumes in many representations without converting them to a voxel-based representation. Our algorithm is a generalization of the one presented by Cardoner et al. (1997) for 2D objects. It is based on the application of directional erosions, while retaining those voxels that introduce disconnection
Keywords :
image reconstruction; image representation; image thinning; mathematical morphology; image reconstruction; image representation; mathematical morphology; skeletonization; spatially encoded objects; thinning; Animation; Biomedical imaging; Discrete transforms; Image reconstruction; Iterative algorithms; Robustness; Service robots; Shape control; Skeleton; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903595
Filename :
903595
Link To Document :
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