Title: Evaluation method for colour matching using artificial intelligence technology

Authors: Lijuan Yao; Ling Tang

Addresses: Heibei Acdemy of Fine Arts, Shijiazhuang, 050700, China ' Heibei Acdemy of Fine Arts, Shijiazhuang, 050700, China

Abstract: The existing colour matching evaluation methods have the problem of fuzzy colour attributes, which leads to high image distortion. This paper designs an evaluation method of public space indoor landscape colour matching based on artificial intelligence technology. Quantify the colour layout of public space, determine the main colour of space, identify the colour attributes of indoor landscape, deploy the combined colour phase ring, use artificial intelligence technology to extract the colour-matching features, calculate the colour distance, combined with the transition colour frequency information, adopt the colour quantisation algorithm to set the evaluation model. This technique helps in identifying the spaces based on AI matching and outcome. Automatic analysis and identification of spaces are done efficiently and fast. Experimental results: the average distortion of the evaluation method and the other two evaluation methods is 30.12, 38.96, 38.87, which proves that the colour matching evaluation method combined with artificial intelligence technology has a higher use-value.

Keywords: artificial intelligence technology; colour layout; colour matching; evaluation method; public space; colour quantisation algorithm; angle evaluation.

DOI: 10.1504/IJNT.2024.144159

International Journal of Nanotechnology, 2024 Vol.21 No.6, pp.400 - 410

Received: 25 Nov 2021
Received in revised form: 26 Mar 2022
Accepted: 01 Apr 2022
Published online: 30 Jan 2025 *

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