Journal article
Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency
IET Image Processing, Vol.12(3), pp.314-319
2018
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%.
Details
- Title
- Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency
- Authors/Creators
- L. Zhang (Author/Creator)Q. Xu (Author/Creator)G. Zhu (Author/Creator)J. Song (Author/Creator)X. Zhang (Author/Creator)P. Shen (Author/Creator)W. Wei (Author/Creator)S.A.A. Shah (Author/Creator)M. Bennamoun (Author/Creator)
- Publication Details
- IET Image Processing, Vol.12(3), pp.314-319
- Publisher
- Institution of Engineering and Technology
- Identifiers
- 991005545209807891
- Copyright
- © 2018 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.17 Computer Vision & Graphics
- 4.17.861 Color Imaging
- Web Of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic
- Imaging Science & Photographic Technology
- ESI research areas
- Engineering