Title :
Distance-Driven Skeletonization in Voxel Images
Author :
Arcelli, Carlo ; Di Baja, Gabriella Sanniti ; Serino, Luca
Author_Institution :
CNR, Inst. of Cybern. E.Caianiello, Pozzuoli, Italy
fDate :
4/1/2011 12:00:00 AM
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.
Keywords :
curve fitting; image representation; surface fitting; transforms; 3-weighted distance transform; 4-weighted distance transform; 5-weighted distance transform; anchor points detection; curve skeleton; distance-driven skeletonization; object representation; surface skeleton; topology preserving removal operations; voxel images; Filtering; Junctions; Shape; Skeleton; Three dimensional displays; Topology; Transforms; Voxel image; curve skeleton; distance transform; surface skeleton; symmetry point; topology preservation.; Algorithms; Image Enhancement; Image Processing, Computer-Assisted; Imaging, Three-Dimensional;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2010.140