现代纺织技术 ›› 2022, Vol. 30 ›› Issue (6): 176-185.DOI: 10.19398/j.att.202204008

• 服装工程 • 上一篇    下一篇

基于色彩网络的数码喷绘印花香云纱旗袍色彩分析

陈希雅1a,2, 赵崧灵1a, 顾冰菲1a,1b,1c   

  1. 1.浙江理工大学, a.服装学院;b.浙江省服装工程技术研究中心;c.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,杭州 310018;
    2.东华大学服装艺术与设计学院,上海 200051
  • 收稿日期:2022-04-06 出版日期:2022-11-10 网络出版日期:2022-11-16
  • 通讯作者:顾冰菲(1987-),E-mail:gubf@zstu.edu.cn
  • 作者简介:陈希雅(1999—),女,浙江台州人,硕士研究生,主要从事数字化服装技术方面的研究。
  • 基金资助:
    国家自然科学基金项目(61702461,61702460);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)

Color analysis of digitally spray-printed gambiered Canton gauze cheongsam based on color network

CHEN Xiya1a,2, ZHAO Songling1a, GU Bingfei1a,1b,1c   

  1. 1a. School of Fashion Design & Engineering; 1b. Zhejiang Provincial Research Center of Fabricated Concrete Industrialized Architecture Engineering Technology; 1c. Key Laboratory of Silk Culture Inheriting and Products Design Digital Technology, Ministry of Culture and Tourism,Zhejiang Sci-Tech University, Hangzhou 310018, China;
    2. College of Fashion and Design, Donghua University, Shanghai 200051, China
  • Received:2022-04-06 Published:2022-11-10 Online:2022-11-16

摘要: 为了更好地传承发扬香云纱文化,厘清目前数码喷绘印花香云纱旗袍的主要色彩特征及配色规律,为设计师提供一定的配色参考。以205张数码喷绘印花香云纱旗袍图片为研究对象,利用计算机技术进行色彩提取及配色分析。首先对图像进行噪声消除和纹理平滑,利用八叉树量化算法基于HSV颜色空间分别提取单张旗袍图片的主色和辅色,然后利用聚类算法获得整体图片库的20个整体代表色、10个主色代表色和20个辅色代表色。最后利用Apriori关联规则算法得到主色与辅色之间的86条、辅色与辅色之间的66条色彩搭配规则,并绘制相应的配色网络图。结果表明:红黄色系及中低明度、中低饱和度的颜色是香云纱旗袍主要的色彩特征,同类色和类似色的色彩搭配方式使整体的呈现效果较为稳重典雅。研究结果可为相关产品图案或整体搭配的多样化设计提供理论支持。

关键词: 香云纱, 色彩提取, 色彩搭配, 关联规则, 聚类算法

Abstract: In order to better inherit and carry forward the gambiered Canton gauze culture, clarify the main color characteristics and color matching rules of the current digital printing gambiered Canton gauze cheongsam, and provide certain color matching reference for designers, 205 pictures of digitally spray-printed gambiered Canton gauze cheongsam were taken as research objects, and color extraction and color matching analysis were carried out by computer technology. In the aspect of color extraction, noise elimination and texture smoothing were performed on the image and the main colors and secondary colors of a single cheongsam picture were extracted based on HSV color space by using octree quantization algorithm. Then, 20 overall representative colors, 10 main colors and 20 secondary colors of the overall picture library were obtained by clustering algorithm. In the aspect of color matching, 86 color matching rules between 10 main colors and secondary colors and 66 color matching rules between secondary colors were obtained by Apriori association rule algorithm. And the corresponding color matching network diagram was drawn. The analysis results show gambiered Canton gauze cheongsams mainly use red-yellow colors with medium-low brightness and medium-low saturation, and the color matching of similar colors makes the overall presentation effect more stable and elegant. The results of the study can provide theoretical support for the diversified design of related product patterns or overall matching.

Key words: gambiered Canton gauze, color extraction, color matching, association rules, clustering algorithm

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