首页|基于聚类和Apriori算法的苗族女上装色彩分析

基于聚类和Apriori算法的苗族女上装色彩分析

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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.
Color Analysis of Miao Women's Coats Based on Clustering and Apriori Algorithm
Miao costume elements play a significant role in Chinas 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 representa-tive 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 coats predominantly 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 rela-tionship 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.

Miao costumesHSV color spaceK-means clusteringassociation rulescolor matching research

顾冰菲、章玲玲、赵崧灵

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浙江理工大学服装学院,浙江杭州 310018

浙江理工大学浙江省服装工程技术研究中心,浙江杭州 310018

浙江理工大学丝绸文化传承与产品设计数字化技术文化和旅游部重点实验室,浙江 杭州 310018

苗族服饰 HSV色彩空间 K-means聚类 关联规则 配色研究

国家自然科学基金项目中国纺织工业联合会科技指导性项目中国纺织工业联合会应用基础研究项目浙江理工大学科研业务费专项资金资助项目浙江理工大学服装服饰文化创新团队项目

617024612018079J2020072020Q05111310031282006

2024

服装学报
江南大学

服装学报

北大核心
影响因子：0.239
ISSN：2096-1928
年,卷(期)：2024.9(2)
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