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Proceedings Paper

Fast skeletonization algorithm for 3D elongated objects
Author(s): Ali Shahrokni; Hamid Soltanian-Zadeh; Reza A. Zoroofi
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Paper Abstract

A novel one-pass 3D thinning algorithm is proposed in this paper. 3D thinning can be regarded as an essential step in many image-processing tasks such as image quantification, image compression, motion tracking, path generation, and object navigation. The proposed algorithm generates both connected and non-connected skeletons. It is faster and more accurate than currently available techniques in the literature. In addition, it adaptively removes spurious branches of the skeleton, and hence, generates a smooth and refined skeleton, representing the essential structure of 3D elongated objects such as vessels, airways, and other similar organic shapes.

Paper Details

Date Published: 3 July 2001
PDF: 8 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431102
Show Author Affiliations
Ali Shahrokni, Univ. of Tehran and Institute for Studies in Theoretical Physics and Mathematics (Iran)
Hamid Soltanian-Zadeh, Univ. of Tehran (Iran), Institute for Studies in Theoretical Physics and Mathematics, and (United States)
Reza A. Zoroofi, Univ. of Tehran (Iran)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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