DocumentCode :
3179358
Title :
Improved 3D Thinning Algorithms for Skeleton Extraction
Author :
She, F.H. ; Chen, R.H. ; Gao, W.M. ; Hodgson, P.D. ; Kong, L.X. ; Hong, H.Y.
Author_Institution :
Center for Mater. & Fiber Innovation, Deakin Univ., Waurn Ponds, VIC, Australia
fYear :
2009
fDate :
1-3 Dec. 2009
Firstpage :
14
Lastpage :
18
Abstract :
In this study, we focused on developing a novel 3D Thinning algorithm to extract one-voxel wide skeleton from various 3D objects aiming at preserving the topological information. The 3D Thinning algorithm was testified on computer-generated and real 3D reconstructed image sets acquired from TEMT and compared with other existing 3D Thinning algorithms. It is found that the algorithm has conserved medial axes and simultaneously topologies very well, demonstrating many advantages over the existing technologies. They are versatile, rigorous, efficient and rotation invariant.
Keywords :
feature extraction; image reconstruction; image thinning; 3D reconstructed image sets; 3D thinning algorithms; TEMT; one-voxel wide skeleton; skeleton extraction; topological information; Data mining; Euclidean distance; Image analysis; Iterative algorithms; Pattern analysis; Pattern recognition; Shape; Skeleton; Space technology; Topology; Thinning algorithm; skeleton extraction; three dimensional image; topological information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-5297-2
Electronic_ISBN :
978-0-7695-3866-2
Type :
conf
DOI :
10.1109/DICTA.2009.13
Filename :
5384955
Link To Document :
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