Web-page color modification for barrier-free color vision with genetic algorithm

Authors:
Manabu Ichikawa;Kiyoshi Tanaka;Shoji Kondo;Koji Hiroshima;Kazuo Ichikawa;Shoko Tanabe;Kiichiro Fukami
Affiliations:
Faculty of Engineering, Shinshu Unversity, Nagano-shi, Nagano, Japan;Faculty of Engineering, Shinshu Unversity, Nagano-shi, Nagano, Japan;Kanto Electronics & Research, Inc., Kunitachi-shi, Tokyo, Japan;Social Insurance Chukyo Hospital, Nagoya-shi, Aichi, Japan;Social Insurance Chukyo Hospital, Nagoya-shi, Aichi, Japan;Research Institute of Color Vision, Nagoya-shi, Aichi, Japan;Research Institute of Color Vision, Nagoya-shi, Aichi, Japan
Venue:
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Year:
2003

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Abstract

In this paper, we propose a color modification scheme for web-pages described by HTML markup language in order to realize barrier-free color vision on the internet. First, we present an abstracted image model, which describes a color image as a combination of several regions divided with color information, and define some mutual color relations between regions. Next, based on fundamental research on the anomalous color vision, we design some fitness functions to modify colors in a web-page properly and effectively. Then we solve the color modification problem, which contains complex mutual color relations, by using Genetic Algorithm. Experimental results verify that the proposed scheme can make the colors in a web-page more recognizable for anomalous vision users through not only computer simulation but also psychological experiments with them.