Genetic Parameter Tuning for Reliable Segmentation of Colored Visual Tags
Mbogho, Audrey J.W. and Lori L. Scarlatos (2007) Genetic Parameter Tuning for Reliable Segmentation of Colored Visual Tags. In Thierens et al., Dirk et al., Eds. Proceedings Genetic and Evolutionary Computation Conference II, pages 1525, London, England.
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.
|EPrint Type:||Conference Paper|
|Subjects:||I Computing Methodologies: I.4 IMAGE PROCESSING AND COMPUTER VISION|
|Deposited By:||Mbogho, Audrey J. W.|
|Deposited On:||29 November 2007|