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

与色觉正常的人相比，色觉缺陷（CVD）的人很难区分某些颜色的组合。为了解决这个问题，我们修改了原始图像的饱和度分量，以保留视觉细节时，与CVD的人认为。所提出的方法可以自动构造一个变换，以保持细节的人与CVD，同时保持自然的正常观众。此外，在颜色量化的基础上，采用中值切割算法进行聚类，实现了快速的重着色处理。另一方面，为了对视力残疾进行分类，我们在一个安装了android操作系统的移动终端上实现了farnsk-munsell D-15测试。最后，为了证明该系统的有效性，我们进行了评估实验。此外，我们提出了自动图像分割，使用最大距离算法的图像具有不可区分的颜色。

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.