Mbogho, Audrey J.W. and Scarlatos, Lori L. (2007) Genetic Parameter Tuning for Reliable Segmentation of Colored Visual Tags, Proceedings of Genetic and Evolutionary Computation Conference, 7-11 July 2007, London, England, II, 1525, ACM.
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Abstract
This paper reports on a case study on segmentation of colored visual tags for object identification. Lighting variations result in uncertainty in color thresholds leading to unreliable overall system behavior. We describe an experiment with a genetic algorithm (GA) approach for generating reliable thresholds for color identification. We compare it with a maximum distance (MD) approach, and demonstrate that the genetic approach is far more accurate and reliable.
| Item Type: | Conference paper |
|---|---|
| Uncontrolled Keywords: | visual tags genetic algorithms image segmentation parameter tuning |
| Subjects: | Computing methodologies > Computer graphics > Image manipulation > Image processing |
| Alternate Locations: | http://people.cs.uct.ac.za/~ambogho/papers/gecco2007.pdf |
| Date Deposited: | 29 Nov 2007 |
| Last Modified: | 10 Oct 2019 15:34 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/437 |
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