Modification of indistinguishable colors based on personal characteristic model for people with color defective vision

基于色觉缺陷人群个人特征模型的难以辨别颜色修正

• 批准号: 22700578
• 负责人: TAKIMOTO Hironori
• 金额: $ 1.33万
• 依托单位: Okayama Prefectural University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2010
• 资助国家: 日本
• 起止时间: 2010 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22700578/
• 关键词: バリアフリー; 色覚特性; 画像処理; 表色系変換; 色覚バリアフリー

Compared to people with normal color vision, people with color vision deficiency(CVD) have difficulty in distinguishing between certain combinations of colors. To address this problem, we modify saturation components of the original image to preserve visual detail when perceived by people with CVD. The proposed method can automatically construct a transformation to maintain details for people with CVD while preserving naturalness for normal viewers. In addition, high-speed processing of re-coloring is achieved by clustering based on color quantization using the median cut algorithm. On the other hand, to classify type of vision disability, we implemented the farnsworth-munsell D-15 test to a mobile device with android OS. Finally, in order to show the effectiveness of the proposed system, we performed evaluational experiments. In addition, we proposed automatic image segmentation by using the maximum distance algorithm for an image which has indistinguishable colors.

与色觉正常的人相比，色觉缺陷(CVD)的人在区分某些颜色组合方面存在困难。为了解决这个问题，我们修改了原始图像的饱和度分量，以保留CVD患者感知到的视觉细节。该方法可以自动构造变换，以保持CVD患者的细节，同时保持正常观众的自然性。此外，基于颜色量化的聚类算法使用中值切割算法实现了重新着色的高速处理。另一方面，为了对视力障碍的类型进行分类，我们在一台安装了Android操作系统的移动设备上实现了Farnsworth-Munsell D-15测试。最后，为了验证所提系统的有效性，我们进行了评价性实验。此外，对于颜色不可区分的图像，我们提出了利用最大距离算法进行图像自动分割。