title: Distance-driven skeletonization in voxel images.
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.
authors: Institute of Cybernetics E.Caianiello, CNR, Via Campi Flegrei 34, 80078 Pozzuoli (Naples), Italy. c.arcelli@cib.na.cnr.it
authors: Carlo
authors: C
authors: Arcelli
authors: Gabriella Sanniti
authors: GS
authors: di Baja
authors: Luca
authors: L
authors: Serino
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*