Abstract
Presented in this paper is a method of extracting linear components and polygons in images based on perceptual grouping. In order to reduce the search space which occurs in grouping linear primitives, the method introduces a token-sorting algorithm, where the primitives are sorted according to their slopes and the x-y coordinates of their ending points after the tokens are rotated by the angle of the slope. Experimental results demonstrate that the proposed method is more noise-insensitive and more efficient than conventional methods based on the Hough transform in the aspects of storage and computation.
| Original language | English |
|---|---|
| Pages (from-to) | 2402-2407 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 3 |
| State | Published - 1994 |
| Event | Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA Duration: 2 Oct 1994 → 5 Oct 1994 |