Title :
Surface skeletons in grids with non-cubic voxels
Author_Institution :
Centre for Image Anal., Uppsala Univ., Sweden
Abstract :
An algorithm for computing surface skeletons on the face-centered cubic (fcc) grid and the body-centered cubic (bcc) grid is presented. The fcc grid and the bcc grid are three-dimensional grids where the voxels are rhombic do-decahedra and truncated octahedra, respectively. The DT is used to generate the set of centres of maximal balls (CMBs) which are "anchor points" when constructing the skeleton. Simple points are used in order to make the skeleton topologically correct and CMBs to produce a fully reversible skeleton. Using only simple points and the CMBs generates a skeleton with a lot of branches. By using a set of additional conditions for removal and preservation of grid-points, most of these branches are merged into surfaces. For comparison, the algorithm is also implemented for the cubic grid.
Keywords :
image thinning; topology; transforms; body centered cubic grid; distance transform; face centered cubic grid; noncubic voxels; rhombic dodecahedra voxels; surface skeleton computing; three dimensional grid; topology; truncated octahedra voxels; Bismuth; Grid computing; Image analysis; Image reconstruction; Shape; Skeleton; Surface reconstruction; Table lookup; Visualization;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334195