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Website image colour transformation for the colour blind

机译:网站图像颜色转换为色盲

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In this paper, we look into the colour transformation algorithm, which focuses on the red-green colour vision deficient individuals. Red-green colour deficiency is the most common category of color blindness which causes red and green to be seen as beige color. From the comparison, the RGB color space to HSV conversion technique is chosen to be modified, which only allows red and green to be specifically transformed into yellow and blue. The images are extracted from websites and passed through the colour transformation algorithm for image processing. The modified colour transformation algorithm is implemented to websites to make the websites more accessible to the colour blind to help them improving their color visibility when browsing through the websites. The outcome of the transformation leads to enhancement of website images to meet the color blinds' vision requirements in perceiving image detailed. The colour transformation algorithm is then tested on a group of 35 people who have colour vision deficiency via a designed questionnaire handed out to them. Majority save favourable responses to the modified colour transformation algorithm. The transformed images look clearer to them. They are able to recognize and differentiate the colours of two unrelated areas which their eyes fail to detect accurately. This minimizes their difficulty in accessing the websites.
机译:在本文中,我们研究了颜色转换算法,该算法主要针对红绿颜色视力缺陷的个体。红绿色不足是色盲的最常见类别,它导致红色和绿色被视为米色。通过比较,选择了将RGB颜色空间转换为HSV的转换技术,该技术仅允许将红色和绿色专门转换为黄色和蓝色。这些图像是从网站上提取的,并通过颜色转换算法进行图像处理。修改后的颜色转换算法已应用于网站,以使色盲用户更容易访问网站,以帮助他们改善在浏览网站时的颜色可见性。转换的结果导致网站图像的增强,以满足色盲在感知详细图像时的视觉要求。然后,通过分发给他们的设计调查表,对35名患有色觉不足的人进行颜色转换算法的测试。多数人对改进的颜色转换算法保存了良好的响应。变换后的图像对他们而言看起来更清晰。他们能够识别和区分眼睛无法准确检测到的两个无关区域的颜色。这样可以最大程度地减少他们访问网站的困难。

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