基于京剧脸谱意象色彩的服饰纹样自动配色

doi:10.13475/j.fzxb.20211111307

纺织学报 ›› 2022, Vol. 43 ›› Issue (12): 160-166.doi: 10.13475/j.fzxb.20211111307

基于京剧脸谱意象色彩的服饰纹样自动配色

贾静¹, 曹竟文¹, 徐平华¹^,²^,³(), 林瑞冰¹, 孙晓婉¹

1.浙江理工大学服装学院, 浙江杭州 310018
2.浙江省服装工程技术研究中心, 浙江杭州 310018
3.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

收稿日期:2021-11-30 修回日期:2022-05-23 出版日期:2022-12-15 发布日期:2023-01-06
通讯作者: 徐平华
作者简介:贾静(1998—),女,硕士生。主要研究方向为纺织品服装数字化技术。
基金资助:
国家自然科学基金青年基金项目(61702460);浙江理工大学科研业务费专项资金资助项目(2021Q057);服装设计国家级虚拟仿真实验教学中心项目(ZX20212004);浙江省服装工程技术研究中心开放基金项目(2021FZKF05);浙江理工大学优秀研究生学位论文培育基金项目(LW-YP2021053)

Automatic coloration of clothing pattern based on color parsing of Peking Opera masks

JIA Jing¹, CAO Jingwen¹, XU Pinghua¹^,²^,³(), LIN Ruibing¹, SUN Xiaowan¹

1. School of Fashion Design & Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
2. Clothing Engineering Research Center of Zhejiang Province, Hangzhou, Zhejiang 310018, China
3. Key Laboratory of Silk Culture Heritage and Products Design Digital Technology, Ministry of Culture and Tourism, Hangzhou, Zhejiang 310018, China

Received:2021-11-30 Revised:2022-05-23 Published:2022-12-15 Online:2023-01-06
Contact: XU Pinghua

摘要/Abstract

摘要：

为提升服饰纹样色彩配色效能,利用自适应颜色聚类及自动配色机制,实现基于意象场景的服饰纹样自动配色。以京剧脸谱为范例,搜集了三类角色共计150幅脸谱图像作为源图,采用分割、降噪等操作获取脸谱主体内容;利用二分K-均值聚类算法,对单一样本进行逐一自适应色彩提取,在此基础上进行二次聚类获得各角色脸谱提取色色值、占比及共现比率等特征参数;最后设计融合颜色聚类数、共现比率及目标区域特征要素的动态配色机制,开发色彩解析和纹样自动配色软件。实验结果表明,配色控制参数、源图类型、纹样形态等因素影响选色顺序及最终配色效果,实现基于意象场景的纹样色彩自动迁移,为当代服饰纹样色彩设计提供决策参考。

关键词: 自适应聚类, 色彩迁移, 京剧脸谱, 赋色机制, 意向色彩, 服饰纹样

Abstract:

In order to improve the coloration efficiency of clothing pattern design, an automatic color matching mechanism based on adaptive color clustering of scene images was proposed. 150 images of Peking Opera masks from three roles were collected as the source samples. The Peking Opera mask body of each sample image was obtained by image segmentation and denoising. The bipartite K-means clustering algorithm was utilized to extract adaptively the extracted colors of each sample. In addition, the secondary clustering was carried out to acquire the main color value, proportion and co-occurrence ratio of Peking Opera mask images. A dynamic color matching mechanism integrating the number of color clusters, co-occurrence ration and structure characteristics of the target pattern was designed. Consequently, an automatic color parsing and matching software package was developed. Results confirm that the color matching control parameters, source images, pattern shape and other factors affect the color selection sequence and the final matching effect. The proposed method can quickly achieve the pattern color migration based on the source images, and can provide reference for auxiliary decision-making on clothing pattern color design.

Key words: adaptive clustering, color transfer, Peking Opera facial mask, coloration mechanism, parsing, colthing pattern

中图分类号:

TS941.2

贾静, 曹竟文, 徐平华, 林瑞冰, 孙晓婉. 基于京剧脸谱意象色彩的服饰纹样自动配色[J]. 纺织学报, 2022, 43(12): 160-166.

JIA Jing, CAO Jingwen, XU Pinghua, LIN Ruibing, SUN Xiaowan. Automatic coloration of clothing pattern based on color parsing of Peking Opera masks[J]. Journal of Textile Research, 2022, 43(12): 160-166.

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角色	输出	主色1	主色2	主色3	主色4	主色5	主色6	主色7	主色8	主色9	主色10
生角	色号	#07020C	#4D220C	#A77A5F	#E7892E	#100A11	#D893AE	#48322C	#722D43	#DD2C2E	#715F75
生角	占比/%	21.03	12.45	12.21	10.69	8.90	8.09	7.53	6.82	6.65	5.63
净角	色号	#05030A	#3A3142	#8D89B4	#415920	#BC4E59	#E48E2F	#C21316	#6A493F	#DA9279	#15388D
净角	占比/%	29.32	12.80	9.24	8.78	8.51	8.38	7.98	6.82	4.31	3.86
丑角	色号	#F1DFDA	#EB9276	#0A0409	#EFC8CF	#251C23	#020006	#6C4A42	#A19AB6	#080808	#8D391A
丑角	占比/%	19.96	17.47	16.88	10.76	8.45	8.05	5.82	4.75	3.96	3.90

基于京剧脸谱意象色彩的服饰纹样自动配色

Automatic coloration of clothing pattern based on color parsing of Peking Opera masks

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