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Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency

Zhang, L., Xu, Q., Zhu, G., Song, J., Zhang, X., Shen, P., Wei, W., Shah, S.A.A. and Bennamoun, M. (2018) Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency. IET Image Processing, 12 (3). pp. 314-319.

Link to Published Version: https://doi.org/10.1049/iet-ipr.2017.0482
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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%.

Item Type: Journal Article
Journal or Publication Title: IET Image Processing
Page Range: pp. 314-319
Publisher: Institution of Engineering and Technology
Copyright: © 2018 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/50025
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