Abstract
This paper presents a new approach to image feature extraction which utilizes evolutionary autonomous agents. Image features are mathematically defined in terms of the gray-level intensity at image pixels. The optimality of image feature extraction is to efficiently find all the feature pixels from a given image. In the proposed approach, the autonomous agents, being distributed computational entities, operate directly in the two-dimensional lattice of a digital image, and exhibit a number of reactive behaviors in order to effectively locate the feature pixels.
| Original language | English |
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| Pages | 283-288 |
| Number of pages | 6 |
| Publication status | Published - 1998 |
| Event | Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98 - Anchorage, AK, USA Duration: 4 May 1998 → 9 May 1998 |
Conference
| Conference | Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98 |
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| City | Anchorage, AK, USA |
| Period | 4/05/98 → 9/05/98 |