摘要
苗族服饰元素是中国服饰文化的重要组成部分,其色彩搭配方式蕴含着极大的文化价值,展现了中国传统设计理念。以苗族女上装图像作为研究对象,对其色彩进行提取与分析。通过K-means聚类得到10个整体色、5个主色及10个辅色代表色,在HSV色彩空间下分析苗族服饰色彩分布,最后采用Apriori算法挖掘配色规则并建立配色网络。结果显示,苗族女上装以中低饱和、中低明度的红、黄、蓝色系为主,图案与主体色彩呈现出强烈对比。将配色关系应用到设计实践中,可促进苗族服饰色彩的传承与保护,为研究民族传统服饰色彩提供一定的借鉴和参考。
Miao costume elements play a significant role in China's rich cultural attire.Their color matching contains great cultural value and unique Chinese traditional design concepts.This paper takes the image of Miao women's coats as the research object to realize color extraction and color matching analysis.Through K-means clustering,10 overall representative colors,5 main colors and 10 auxiliary representative colors are obtained.The color distribution of Miao costumes is analyzed in the HSV color space.Finally,the Apriori algorithm is used to mine color matching rules and establish a color matching network.The results show that the Miao women's coatspredominantly feature colors such as red,yellow and blue with low saturation and brightness,and the patterns show a strong contrast with the main colors.The color matching relationship can be applied in design practices to promote the inheritance and protection of Miao costumes'colors,and provide some reference for the study of traditional national clothing colors.
作者
顾冰菲
章玲玲
赵崧灵
GU Bingfei;ZHANG Lingling;ZHAO Songling(School of Fashion Design and Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China;Clothing Engineering Research Center of Zhejlang Province,Zhejiang Sci-Tech University,Hangzhou 310018,China;Key Laboratory of Silk Culture Heritage and ProducTSDesign Digital Technology,Ministry of Culture and Tourism,P.R.China,Zhejiang Sci-Tech University,Hangzhou 310018,China)
出处
《服装学报》
CAS
北大核心
2024年第2期167-174,共8页
Journal of Clothing Research
基金
国家自然科学基金项目(61702461)
中国纺织工业联合会科技指导性项目(2018079)
中国纺织工业联合会应用基础研究项目(J202007)
浙江理工大学科研业务费专项资金资助项目(2020Q051)
浙江理工大学服装服饰文化创新团队项目(11310031282006)。
作者简介
顾冰菲(1987-),女,副教授,硕士生导师。主要研究方向为数字化服装技术。Email:gubf@zstu.edu.cn。
