Article: Application of image colour matching algorithm based on visual perception model in clothing design Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.25 No.7 pp.16 - 24 Abstract: 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. Inderscience Publishers - linking academia, business and industry through research

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

Authors: Wenzhe Hu; Yuan Zhang

Addresses: Apparel and Art Design College, Xi'an Polytechnic University, Xi'an, Shaanxi, 710048, China ' Apparel and Art Design College, Xi'an Polytechnic University, Xi'an, Shaanxi, 710048, China

Abstract: 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.

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

DOI: 10.1504/IJICT.2024.142170

International Journal of Information and Communication Technology, 2024 Vol.25 No.7, pp.16 - 24

Received: 03 Jul 2024
Accepted: 25 Aug 2024
Published online: 10 Oct 2024 *

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

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