Improved colour‐to‐grey method using image segmentation and colour difference model for colour vision deficiency
Liang Zhang, Qing Yang Xu, Guangming Zhu, Juan Song, Xiangdong Zhang, Peiyi Shen, Wei Wei, Syed Afaq Ali Shah, Mohammed Bennamoun · IET Image Processing · 2017
Colour vision deficiency (CVD) is a genetic condition that has troubled people for a long time. This study proposes an improved colour‐to‐grey method for CVD using image segmentation and a colour difference model. In this method, the colour image is first segmented using a region growing method so that each region corresponds to one colour. Next, the colour difference is computed between arbitrary segmented region pairs. Finally, the greyscale image is obtained by minimising a target function. Experimental results show that compared with state‐of‐the‐art colour‐to‐grey methods, the proposed algorithm can improve the E ‐score by about 10.99%.