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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Strand, R. |
| Copyright Year | 2004 |
| Description | Author affiliation: Centre for Image Anal., Uppsala Univ., Sweden (Strand, R.) |
| 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. |
| Starting Page | 548 |
| Ending Page | 551 |
| File Size | 688669 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769521282 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2004.1334195 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-08-26 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Skeleton Image analysis Bismuth Grid computing Shape Table lookup Image reconstruction Surface reconstruction Visualization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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