Abstract
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%.
Original language | English |
---|---|
Pages (from-to) | 314 – 319 |
Number of pages | 6 |
Journal | IET Image Processing |
Volume | 12 |
Issue number | 3 |
Early online date | 23 Nov 2017 |
DOIs | |
Publication status | Published - 1 Mar 2018 |