Application of image colour matching algorithm based on visual perception model in clothing design

被引：0

作者：

Hu, Wenzhe ^{[1
]}

Zhang, Yuan ^{[1
]}

机构：

[1] Apparel and Art Design College, Xi’an Polytechnic University, Shaanxi, Xi’an

来源：

International Journal of Information and Communication Technology | 2024年 / 25卷 / 07期

关键词：

clothing design; computational intelligence; IGA; image colour matching; interactive genetic algorithm; visual perception models;

D O I：

10.1504/IJICT.2024.142170

中图分类号：

学科分类号：

摘要：

This study examines an image colour matching algorithm based on visual perception models, utilising the interactive genetic algorithm (IGA) to improve colour exploration in fashion design. The algorithm’s performance was evaluated across various scenarios, focusing on colour matching accuracy, perceptual quality, and computational efficiency. Results show an average accuracy of 87.5% and a perceptual quality score of 4.2 on a Likert scale. The algorithm operates with an average execution time of 0.25 seconds per design image, demonstrating efficient performance. These findings highlight the algorithm’s potential to enhance creativity and streamline workflows in clothing design. While promising, further research is needed to refine the algorithm and expand its applications in the fashion industry, offering designers a more reliable and precise tool for their work. Copyright © The Author(s) 2024.

引用

页码：16 / 24

页数：8

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