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