Title: Multi-objective optimisation method for product appearance colour matching based on colour imagery

Authors: Xia Wu; Decai Jin

Addresses: College of Art and Creativity, Jinhua Polytechnic, Jinhua, China ' College of Art and Creativity, Jinhua Polytechnic, Jinhua, China

Abstract: To improve the colour coordination of product appearance, the paper proposes a multi-objective optimisation method for product appearance colour matching based on colour imagery. Firstly, select the product colour image and choose the product appearance colour scheme from two perspectives: the main colour and auxiliary colour. Then, design and optimise the objective function from the perspectives of harmonic ratio and colour matching beauty. Finally, the Grey Wolf algorithm is used to optimise the two-colour parameters in the objective function. By iteratively searching in the solution space, the optimal harmonic ratio and colour beauty are obtained, thereby obtaining the best product appearance colour scheme. Experimental results show that the optimised colour scheme of this method has a harmonious proportion, and the visual effects of different colour matching areas are prominent. The colour difference values of different areas are between 1.47 and 1.60, indicating better colour coordination of the product appearance.

Keywords: product appearance; optimise colour matching; colour imagery; colour selection; grey wolf algorithm.

DOI: 10.1504/IJPD.2024.140147

International Journal of Product Development, 2024 Vol.28 No.3, pp.131 - 146

Received: 13 Sep 2023
Accepted: 08 Feb 2024
Published online: 25 Jul 2024 *

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