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A cellular automata model for edge relaxation |
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| Authors: | Stefan Surka Kimon P Valavanis |
| Affiliation: | (1) UPS Research and Development, 51-53 Kenosia Avenue, 06810 Danbury, CT, USA;(2) The Center for Advanced Computer Studies, The University of Southwestern Louisiana, 70504-4330 Lafayette, LA, USA |
| Abstract: | An edge detection method based on a fuzzy cellular automata model which serves as the relaxation labeling process constraint is described. An initial estimate of edge locations is made and the remaining ambiguities are resolved by thinning and enhancing the edges through several iterations. An efficient fixed step algorithm is presented and its performance is evaluated for different noise level images. The method is useful for the detection of linear image features in three-dimensional robot vision systems. |
| Keywords: | Edge detection cellular automata directional operators thinning enhancing |
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