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?Simplifying curve skeletons in volume images?

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
3D images; shape representation; voxel classification; discrete skeleton; pruning
Elenco autori:
SANNITI DI BAJA, Gabriella
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/164636
Pubblicato in:
COMPUTER VISION AND IMAGE UNDERSTANDING
Journal
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