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浙江大学学报(理学版)  2020, Vol. 47 Issue (6): 660-668    DOI: 10.3785/j.issn.1008-9497.2020.06.002
文化计算     
苗族服饰色彩体系构建研究
赵海英, 银宇堃
北京邮电大学 计算机学院,北京 100876
Study on the construction of the Miao's costume color system
ZHAO Haiying, YIN Yukun
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
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摘要: 色彩是民族服饰的核心要素,也是民族文化元素的重要组成部分,构建一套兼具科学性与实用性的色彩体系极具挑战性。在传统色彩地理学方法基础上,通过提取主题色和改进的关联规则挖掘方法,获取色彩数据、寻找色彩规则,并对其进行自然色彩体系(NCS)编谱分析,构建了一套苗族服饰色彩体系(Miao’s costume color system,MCCS)。该体系有助于进一步挖掘苗族服饰的配色规律,实现对苗族服饰色彩的数字化保护,为民族服饰色彩传承机理的探索与研究提供新的思路。
关键词: 色彩体系关联规则挖掘色彩编谱分析苗族服饰    
Abstract: Color is the core element of the appearance of national costume and an important part of national culture.Nevertheless,it is very challenging to build a set of color system with scientific and practical features.Based on the traditional methods of color geography,this paper uses theme color extraction and improved association rule mining method to accomplish color data acquisition and color rule discovery,and carries out natural color system (NCS) chromatogram analysis,so as to build a Miao's costume color system (MCCS) composed of color rules and chromatogram analysis. MCCS is helpful for digital protection of Miao's costume color and the mining of color matching rules. It provides a new way to discover the mechanism of national costume color inheritance.
Key words: color spectrum analysis    association rules mining    color system    Miao's costume
收稿日期: 2020-07-13 出版日期: 2020-11-25
CLC:  TP 391  
基金资助: 中央文化产业发展专项资金项目资助(GssKS-2015-035);国家自然科学基金资助项目(61163044);新疆维吾尔自治区重点实验室开放课题项目(2017D04009);北京邮电大学校级课题项目(2020RC26).
作者简介: 赵海英(1972—),ORCID:http://orcid.org/0000-0002-0240-4573,女,博士,副教授,主要从事多媒体数据挖掘、图像处理和文化计算等研究. E-mail:zhaohaiying@bupt.edu.c;
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引用本文:

赵海英, 银宇堃. 苗族服饰色彩体系构建研究[J]. 浙江大学学报(理学版), 2020, 47(6): 660-668.

ZHAO Haiying, YIN Yukun. Study on the construction of the Miao's costume color system. Journal of Zhejiang University (Science Edition), 2020, 47(6): 660-668.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2020.06.002        https://www.zjujournals.com/sci/CN/Y2020/V47/I6/660

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