Multi-objective optimisation method for product appearance colour matching based on colour imagery
Xia Wu and
Decai Jin
International Journal of Product Development, 2024, vol. 28, issue 3, 131-146
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. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=140147 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:28:y:2024:i:3:p:131-146
Access Statistics for this article
More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().