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Distance driven skeletonization in voxel images

Academic Article
Publication Date:
2011
abstract:
A distance-driven method to compute the surface and curve skeletons of 3D objects in voxel images is described. The method is based on the use of the <3,4,5> weighted distance transform, on the detection of anchor points, and on the application of topology preserving removal operations. The obtained surface and curve skeletons are centered within the object, have the same topology as the object, and have unit thickness. The object can be almost completely recovered from the surface skeleton since this includes almost all of the centers of maximal balls of the object. Hence, the surface skeleton is a faithful representation. In turn, though only partial recovery is possible from the curve skeleton, this still provides an appealing representation of the object.
Iris type:
01.01 Articolo in rivista
Keywords:
Voxel image; surface skeleton; curve skeleton; distance transform; symmetry point; topology preservation
List of contributors:
Arcelli, Carlo; Serino, Luca; SANNITI DI BAJA, Gabriella
Authors of the University:
SERINO LUCA
Handle:
https://iris.cnr.it/handle/20.500.14243/124013
Published in:
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Journal
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URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5551146&tag=1
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