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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Samet, Hanan |
| Copyright Year | 1979 |
| Abstract | The concept of distance used in binary array representations of images is adapted to a quadtree representation. The chessboard distance metric is shown to be particularly suitable for the quadtree. A chessboard distance transform for a quadtree is defined as the minimum distance in the plane from each BLACK node to the border of a WHiTE node. An algorithm is presented which computes this transform by only examining the BLACK node's adjacent and abutting neighbors and their progeny. However, unlike prior work with quadtrees, computation of the distance transform requires a capability of finding neighbors in the diagonal direction rather than merely in the horizontal and vertical directions. The algorithm's average execution time is proportional to the number of leaf nodes in the quadtree. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 298 |
| Ending Page | 303 |
| Page Count | 6 |
| File Size | 1355207 |
| File Format | |
| ISSN | 01628828 |
| Volume Number | PAMI-4 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1982-05-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image processing Adaptive arrays Pattern recognition Computer applications Skeleton Pixel Image representation Night vision Computer science quadtrees Distance transforms image processing pattern recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software |
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