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Website image colour transformation for the colour blind

机译:网站图像颜色变换为彩色盲人

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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,我们研究了彩色变换算法,它侧重于红绿视觉缺陷的个体。红绿色缺乏是最常见的色盲类,导致红色和绿色被视为米色的颜色。从比较中,选择修改RGB颜色空间到HSV转换技术,这只允许红色和绿色将特定转换为黄色和蓝色。从网站提取图像并通过彩色变换算法以进行图像处理。修改的颜色转换算法在网站上实现,以使颜色更能访问的网站,以帮助他们通过网站浏览时提高颜色的可视性。转型的结果导致增强网站图像,以满足感知图像中的彩色百叶窗的视觉要求。然后通过向他们发出的设计问卷进行色彩视觉缺陷的一组35人进行彩色变换算法。大多数节省了对修改的彩色变换算法的有利响应。转换图像看起来更清楚。他们能够识别并区分两个无关区域的颜色,其眼睛无法准确检测。这最大限度地减少了他们访问网站的困难。

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