Title: A colour matching method for industrial product packaging driven by multidimensional image information

Authors: Yaning Li; Yanna Shangguan; Chao Gao

Addresses: Department of Architectural Design, Hebei Vocational College of Resources and Environment, Shijiazhuang, 050081, China ' Department of Architectural Design, Hebei Vocational College of Resources and Environment, Shijiazhuang, 050081, China ' Department of Architectural Design, Hebei Vocational College of Resources and Environment, Shijiazhuang, 050081, China

Abstract: In order to overcome the problems of poor matching accuracy and long matching time in traditional industrial product packaging colour matching methods, the paper proposes a colour matching method for industrial product packaging driven by multidimensional image information. Firstly, collect multi-dimensional sensory information from industrial product packaging images; Then, clustering of packaging cognitive information is driven by dimensional image information to extract colour features from packaging images; Finally, the Lagrange function is introduced to calculate colour similarity, and a packaging colour matching model is constructed based on Bayesian analysis. Penalty parameters are introduced for model solving to obtain the final colour matching result. The results show that the accuracy of packaging colour matching under the proposed method can reach 99.32%, and the accuracy of colour matching can reach 99.6%, which verifies the matching effect of the proposed method.

Keywords: driven by multidimensional image information; multidimensional perceptual information; Lagrange function; Bayesian.

DOI: 10.1504/IJMTM.2025.145938

International Journal of Manufacturing Technology and Management, 2025 Vol.39 No.3/4/5, pp.247 - 259

Received: 13 Dec 2023
Accepted: 03 Jun 2024
Published online: 30 Apr 2025 *

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