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Simplifying curve skeletons in volume images.

Authors :
Svensson, Stina
Sanniti di Baja, Gabriella
Source :
Computer Vision & Image Understanding; Jun2003, Vol. 90 Issue 3, p242, 16p
Publication Year :
2003

Abstract

The curve skeleton of a 3D solid object provides a useful tool for shape analysis tasks. In this paper, we use a recent skeletonization algorithm based on voxel classification that originates a nearly thin, i.e., at most two-voxel thick, curve skeleton. We introduce a novel way to compress the nearly thin curve skeleton to one-voxel thickness, as well as an efficient pruning algorithm able to remove unnecessary skeleton branches without causing excessive loss of information. To this purpose, the pruning condition is based on the distribution of significant elements along skeleton branches. The definition of significance depends on the adopted skeletonization algorithm. In our case, it is derived from the voxel classification used during skeletonization. [Copyright &y& Elsevier]

Subjects

Subjects :
PRUNING
SOLIDS
ALGORITHMS

Details

Language :
English
ISSN :
10773142
Volume :
90
Issue :
3
Database :
Supplemental Index
Journal :
Computer Vision & Image Understanding
Publication Type :
Academic Journal
Accession number :
10234598
Full Text :
https://doi.org/10.1016/S1077-3142(03)00061-4