Application of K-means algorithm in Yi clothing color

Hanlu Zhu; Jianhua Lv; Yuan Hu; Chuan Liu; Hongjia Guo

doi:10.1117/12.2628546

22 April 2022 Application of K-means algorithm in Yi clothing color

Hanlu Zhu, Jianhua Lv, Yuan Hu, Chuan Liu, Hongjia Guo

Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 1217411 (2022) https://doi.org/10.1117/12.2628546
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China

Abstract

K-means algorithm, also known as k-means clustering algorithm, is a clustering algorithm commonly used in image analysis and color extraction. The color of Yi costumes deeply reflects the traditional culture of Yi nationality. In view of the problems that designers often extract and apply the traditional color of Yi costumes through personal experience, it is difficult to truly restore the color image and characteristics, K-means clustering algorithm is applied to the color research of Yi costumes. Based on K-means algorithm, this paper extracts the color of traditional Yi clothing, clusters the color, analyzes the color matching of Yi clothing, and tests the possibility of this method in the color research and application practice of traditional Yi clothing combined with design examples. The results show that k-means algorithm can highly restore the color intention and characteristics of Yi clothing, and can be used as a new method for the innovative application of Yi clothing color.

Citation Download Citation

Hanlu Zhu, Jianhua Lv, Yuan Hu, Chuan Liu, and Hongjia Guo "Application of K-means algorithm in Yi clothing color", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 1217411 (22 April 2022); https://doi.org/10.1117/12.2628546

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