@inproceedings{f424c79e70c344919a8db65d04c06b36,
title = "Genetic parameter tuning for reliable segmentation of colored visual tags",
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.",
keywords = "Color segmentation, Genetic algorithms, Parameter approximation, Visual tags",
author = "Mbogho, \{Audrey J.W.\} and Scarlatos, \{Lori L.\}",
year = "2007",
doi = "10.1145/1276958.1277254",
language = "English",
isbn = "1595936971",
series = "Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference",
pages = "1525",
booktitle = "Proceedings of GECCO 2007",
note = "9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007 ; Conference date: 07-07-2007 Through 11-07-2007",
}