Computing skeletons in three dimensions

作者:

Highlights:

摘要

Skeletonization will probably become as valuable a tool for shape analysis in 3D, as it is in 2D. We present a topology preserving 3D skeletonization method which computes both surface and curve skeletons whose voxels are labelled with the D6 distance to the original background. The surface skeleton preserves all shape information, so (close to) complete recovery of the object is possible. The curve skeleton preserves the general geometry of the object. No complex computations, large sets of masks, or extra memory are used, which make implementations efficient. Resulting skeletons for geometric objects in a number of 2 Mbyte images are shown as examples.

论文关键词:Volume image,Shape representation,Surface skeleton,Curve skeleton,Thinning,Digital topology

论文评审过程:Received 29 April 1997, Revised 18 May 1998, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/S0031-3203(98)00082-X