Web-Page Color Modification for Barrier-Free Color Vision with Genetic Algorithm
Web-Page Color Modification for Barrier-Free Color Vision with Genetic Algorithm
复制标题
利用遗传算法实现无障碍色觉的网页颜色修改
DOI：
10.1007/3-540-45110-2_109
复制
发表时间：
2003
期刊：
影响因子：
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通讯作者：
Kiichiro Fukami
中科院分区：
文献类型：
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作者：
Manabu Ichikawa;Kiyoshi Tanaka;S. Kondo;K. Hiroshima;K. Ichikawa;S. Tanabe;Kiichiro Fukami
在本文中，我们提出了一种用HTML标记语言描述的网页颜色修改方案，以实现互联网上的无障碍色彩视觉。首先，我们提出了一个抽象的图像模型，它将彩色图像描述为由颜色信息划分的多个区域的组合，并定义了区域之间的一些相互颜色关系。接下来，基于异常色觉的基础研究，我们设计了一些适应度函数来正确有效地修改网页中的颜色。然后我们利用遗传算法解决了包含复杂的相互颜色关系的颜色修改问题。实验结果不仅通过计算机模拟而且通过心理实验验证了所提出的方案可以使异常视觉用户更容易识别网页中的颜色。
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.