Title: Colour matching design method in product visual communication based on grey relational analysis

Authors: Fan Wu; Huaxi Chen

Addresses: School of Information Engineering, Fuyang Teachers College, Fuyang, Anhui, China ' School of Mathematics and Science, Bengbu University, Bengbu, Anhui, China

Abstract: Colour matching in product visual communication results in high colour differences due to insufficient consideration of the degree of correlation between colours. Therefore, a colour matching design method in product visual communication based on grey relational analysis is studied. Firstly, 201 colours were selected as initial samples, and fuzzy processing techniques were used to combine colour merging and noise removal to screen colours. Then, it introduces the expected value of colour imagery, adjust weights and the initial colour scheme is design. Finally, the grey correlation analysis improved by the tomographic analysis method is used to determine the weighted grey correlation of colours and optimise the initial colour scheme. The colour matching of this method meets the requirements with the highest product colour difference value of 1.63 and a consensus degree of 0.85 according to the experiment. It improves the colour coordination of the product and conforms to user image preferences.

Keywords: product colour matching; visual communication; colour scheme design; colour screening; grey correlation analysis; weighted grey-scale correlation.

DOI: 10.1504/IJPD.2024.143260

International Journal of Product Development, 2024 Vol.28 No.4, pp.257 - 271

Received: 16 Apr 2024
Accepted: 03 Oct 2024
Published online: 11 Dec 2024 *

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