Web-Page Color Modification for Barrier-Free Color Vision with Genetic Algorithm View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2003-06-18

AUTHORS

Manabu Ichikawa , Kiyoshi Tanaka , Shoji Kondo , Koji Hiroshima , Kazuo Ichikawa , Shoko Tanabe , Kiichiro Fukami

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. More... »

PAGES

2134-2146

References to SciGraph publications

Book

TITLE

Genetic and Evolutionary Computation — GECCO 2003

ISBN

978-3-540-40603-7
978-3-540-45110-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-45110-2_109

DOI

http://dx.doi.org/10.1007/3-540-45110-2_109

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042615854


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