An HTML5 based discoloration algorithm for people with low vision

Fanghua Yan, Guoqiang Liu, Yayu Zheng
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引用次数: 2

Abstract

With the rapid development of Internet, web information is being more and more colorful. However, mixed color information makes people with low vision see webpage unclearly when they surf the Internet. For people with low vision cannot distinguish so many colors, enhancing the contrast between text or image and background is considered as the most effective way to improve this situation. Based on people with low vision's perception of difference between different colors, this paper designs a webpage discoloration algorithm based on HTML5. The algorithm produces a visual effect by adjusting the text and background colors, as well as the colors in images to the range that people with low vision can identify. Text discoloration is completed by adjusting the text style properties. OTSU algorithm based on block segmentation algorithm implements image discoloration, through the way of pixel point to point, applies look-up table method to transform color of the original image into a typical color. The result shows that the algorithm is able to realize webpage discoloration effects, enhance the contrast of the webpage and better meet the needs of people with low vision browsing webpage.
一个基于HTML5的低视力人群变色算法
随着互联网的飞速发展,网络上的信息越来越丰富多彩。然而,混合颜色的信息会使视力低下的人在上网时看不清网页。对于视力低下的人来说,无法区分这么多的颜色,增强文本或图像与背景的对比度被认为是改善这种情况的最有效的方法。本文基于弱视人群对不同颜色差异的感知,设计了一种基于HTML5的网页变色算法。该算法通过调整文本和背景颜色以及图像中的颜色来产生视觉效果,使其达到视力低下的人可以识别的范围。文本变色是通过调整文本样式属性完成的。基于块分割算法的OTSU算法实现图像变色,通过像素点对点的方式,应用查表法将原始图像的颜色转换为典型颜色。结果表明,该算法能够实现网页变色效果,增强网页对比度,更好地满足弱视人群浏览网页的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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