基于网络关系模型的品牌女装配色解析

doi:10.13475/j.fzxb.20210100207

纺织学报 ›› 2021, Vol. 42 ›› Issue (11): 137-142.doi: 10.13475/j.fzxb.20210100207

基于网络关系模型的品牌女装配色解析

徐明慧¹, 徐平华¹^,²(), 韦秋菊¹, 丁雪梅³, 冒海琳⁴

1.浙江理工大学服装学院, 浙江杭州 310018
2.服装设计国家级虚拟仿真实验教学中心(浙江理工大学), 浙江杭州 310018
3.现代服装设计与技术教育部重点实验室, 上海 200051
4.江苏依海服饰有限公司, 江苏南通 226007

收稿日期:2021-01-04 修回日期:2021-07-28 出版日期:2021-11-15 发布日期:2021-11-29
通讯作者: 徐平华
作者简介:徐明慧(1990—),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科学基金项目(61702460);国家社会科学基金重点项目(19AMZ009);现代服装设计与技术教育部重点实验室(东华大学)开放课题基金资助项目(KLCDT2020-07);服装设计国家级虚拟仿真实验教学中心项目(zx20212004);浙江理工大学科研业务费专项资金资助项目(2021Q057);浙江理工大学优秀研究生学位论文培育基金项目(LW-YP2020055)

Color parsing of female brand clothing based on nexus network modeling

XU Minghui¹, XU Pinghua¹^,²(), WEI Qiuju¹, DING Xuemei³, MAO Hailin⁴

1. School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
2. National Virtual Simulation Experimental Teaching Center of Clothing Design (Zhejiang Sci-Tech University), Hangzhou, Zhejiang 310018, China
3. Key Laboratory of Clothing Design and Technology, Ministry of Education, Shanghai 200051, China
4. Jiangsu Yihai Clothing Co., Ltd., Nantong, Jiangsu 226007, China

Received:2021-01-04 Revised:2021-07-28 Published:2021-11-15 Online:2021-11-29
Contact: XU Pinghua

摘要/Abstract

摘要：

针对当前服饰用色规律及其内在机制解析模糊的问题,提出了利用图像处理技术构建服饰配色关系及其内在联系的网络关系模型。对服饰系列图像色彩进行初始聚类及二次聚类,提取主色及其用色比例关系;提取色彩占比、二元色组共现频率、色彩空间距离等指标构建主色网络关系模型;对选取的3个代表性品牌女装的500幅图像,利用所开发的色彩解析软件,从主色分布、配色关系、配色机制方面进行了比对和分析,以可视化形式呈现品牌女装年度、时尚季用色规律。实验结果表明,3个女装品牌主色、空间距离和共现规律不尽相同,前3种颜色累计占比均超出50%,单幅样本耗时小于0.3 s;该方法能够以客观、可视化的方式表征服饰用色机制,用以辅助服装企划和设计决策。

关键词: 女装配色, 网络关系, 配色机制, 色彩聚类, 可视化模型, 空间距离

Abstract:

Targeting at lacks of the deep level parsing on rules and mechanisms of clothing color, a nexus network model for clothing color relations and internal connection using imaging processing technology was established. The dominant colors and color ratios of female brand clothing were detected using two-step clustering before an innovative nexus network model was constructed and composed multi-features such as diff-color frequency, dual color matching intimacy and color distances. 500 female clothing images of three representative brands were chosen and analyzed in terms of main color distribution, matching relationship and mechanisms. The developed software efficiently displays each brand color pattern for different years and quarters with a visualized model. Results show that the main colors, spatial distance and co-occurrence rules are different, the cumulative proportion of the first three colors is more than 50%, and the time cost of a single image is less than 0.3 s.The visualized color nexus network model is able to display objectively clothing color rules,assisting the fashion merchandising and design decision-making.

Key words: women's clothing color matching, nexus network, color matching mechanism, color clustering, visualized model, spatial distance

中图分类号:

TS941.2

徐明慧, 徐平华, 韦秋菊, 丁雪梅, 冒海琳. 基于网络关系模型的品牌女装配色解析[J]. 纺织学报, 2021, 42(11): 137-142.

XU Minghui, XU Pinghua, WEI Qiuju, DING Xuemei, MAO Hailin. Color parsing of female brand clothing based on nexus network modeling[J]. Journal of Textile Research, 2021, 42(11): 137-142.

图/表 11

图1

图2

图3

图4

图5

表1

图6

图7

图8

图9

表2

参考文献 14

[1]	王忆雯, 梁惠娥, 崔荣荣. 传统荷包南北地域色彩差异化比较[J]. 纺织学报, 2017, 38(1):121-125.
	WANG Yiwen, LIANG Hui'e, CUI Rongrong. Comparative research on traditional pouch difference between north and south regions[J]. Journal of Textile Research, 2017, 38(1):121-125.
[2]	陈丽丽, 王立川, 陈雁. 色彩感觉特性的评价[J]. 纺织学报, 2017, 38(9):127-130.
	CHEN Lili, WANG Lichuan, CHEN Yan. Evaluation of color perception characteristics[J]. Journal of Textile Research, 2017, 38(9):127-130.
[3]	徐平华, 冒海琳, 黄琴琴. 服饰场景视觉共性认知评价方法[J]. 纺织学报, 2019, 40(9):198-202.
	XU Pinghua, MAO Hailin, HUANG Qinqin. Common cognitive evaluation method for fashion visual scenes[J]. Journal of Textile Research, 2019, 40(9):198-202.
[4]	孙菲菲, 徐平华, 丁雪梅, 等. 服饰设计视觉显著性检测[J]. 纺织学报, 2018, 39(3):126-131.
	SUN Feifei, XU Pinghua, DING Xuemei, et al. Visual saliency detection of clothing and accessory design[J]. Journal of Textile Research, 2018, 39(3):126-131.
[5]	张苏道, 薛文良, 魏孟媛, 等. 眼动仪在服装面料色彩视觉评价中的应用[J]. 纺织学报, 2019, 40(3):139-145.
	ZHANG Sudao, XUE Wenliang, WEI Mengyuan, et al. Application of eye tracker in visual evaluation of apparel fabric colors[J]. Journal of Textile Research, 2019, 40(3):139-145.
[6]	JIANG Q L, CHEN L C, ZHANG J. Perception and preference analysis of fashion colors: solid color shirts[J]. Sustainability, 2019, 11(8):2405. doi: 10.3390/su11082405
[7]	XING X, GU W, LIU X G. Apparel color preferences for different regions in China: the connection to personal values[J]. Color Research & Application, 2018, 43(3):423-435.
[8]	STEWARD D V. The design structure system: a method for managing the design of complex system [C]//Proceedings of IEEE Transactions on Engineering Management. Washington: IEEE, 1981:152-161.
[9]	刘肖健, 曹愉静, 赵露唏. 传统纹样的色彩网络模型及配色设计辅助技术[J]. 计算机集成制造系统, 2016, 22(4):899-907.
	LIU Xiaojian, CAO Yujing, ZHAO Luxi. Color networks of traditional cultural patterns and color design aiding technology[J]. Computer Integrated Manufacturing Systems, 2016, 22(4):899-907.
[10]	李愚, 刘肖健, 孙艳, 等. 产品配色设计的色彩邻接网络模型[J]. 计算机集成制造系统, 2019, 25(9):2355-2364.
	LI Yu, LIU Xiaojian, SUN Yan, et al. Color adjacent network model of product color matching design[J]. Computer Integrated Manufacturing Systems, 2019, 25(9):2355-2364.
[11]	XU B, LIU X, LU C, et al. Transferring the color imagery from an image: a color network model for assisting color combination[J]. Color Research & Application, 2019, 44(2):205-220.
[12]	XU N, PRICE B, COHEN S, et al. Deep image matting [C]// 2017 IEEE Conference on Computer Vision & Pattern Recognition.Hawaii:IEEE Computer Society, 2017:311-320.
[13]	SALHI K, JAARA E M, ALAOUI M T, et al. Color-texture image clustering based on neuro-morphological approach[J]. IAENG Internaitonal Journal of Computer Science, 2019, 46(1):134-140.
[14]	徐平华, 冒海琳, 张玉杰, 等. 民族服饰色彩构成分析方法研究[J]. 丝绸, 2019, 56(3):24-29.
	XU Pinghua, MAO Hailin, ZHANG Yujie, et al. Study on analysis method for color composition of ethnic costumes[J]. Journal of Silk, 2019, 56(3):24-29.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

类别	色彩序号	品牌C	品牌F	品牌G
主色颜色值	1	#3C3847	#CAB8A9	#ACA193
	2	#9D9EAB	#BE8C5D	#A1B1B8
	3	#CCBAAE	#BAAAC2	#4E4435
辅助色颜色值	4	#452F5E	#58443A	#363A46
	5	#D3BBD2	#807A74	#C58D4B
	6	#6C5C52	#272624	#2E4172
	7	#B68452	#3E4448	#BBA0B2
	8	#8D273D	#683D21	#CA3CC6

时尚季	色彩序号
春夏	1	#B1A698	#A9A296	#2A2938	#A6A1AF
	2	#3D3933	#1D2127	#2D3E5B	#2D313B
	3	#24292A	#684731	#CDC5D5	#AEA498
秋冬	1	#29282E	#292A2F	#CCBAAF	#30303A
	2	#252422	#3E363B	#AFB5BD	#B1A398
	3	#423025	#2B2725	#D0B3C0	#B4AEBE
年度综合	1	#31343B	#A69D93	#3C3847	#A49388
	2	#A3978C	#9D9CA7	#9D9EAB	#504944
	3	#312F2B	#262830	#CCBAAE	#363B46

[1]	蒋高明, 周濛濛, 郑宝平, 郑培晓, 刘海桑. 绿色低碳针织技术研究进展[J]. 纺织学报, 2022, 43(01): 67-73.
[2]	王迪, 柯莹, 王宏付. Voronoi图形在参数化服装造型构建中的应用[J]. 纺织学报, 2021, 42(12): 131-137.
[3]	彭稀, 屠永坚, 周赳. 纬排2比1纬二重渐变显色结构设计原理与方法[J]. 纺织学报, 2021, 42(12): 63-69.
[4]	庹武, 王哓玉, 高雅昆, 于媛媛, 郝潇潇, 刘永亮, 郭鑫. 基于改进边缘检测算法的服装款式识别[J]. 纺织学报, 2021, 42(10): 157-162.
[5]	张爱丹, 郭珍妮, 汪阳子. 模块组合全显色结构提花织物设计与仿色优化比较[J]. 纺织学报, 2021, 42(10): 67-74.
[6]	陆爽怿, 周赳. 单经双纬组合全显色提花织物的结构交织平衡特征[J]. 纺织学报, 2021, 42(09): 59-65.
[7]	唐茜张冰冰郑笑雨. 婴幼儿可穿戴智能监测服装设计研究[J]. , 0, (): 0-0.
[8]	唐茜, 张冰冰, 郑笑雨. 婴幼儿可穿戴智能监测服装设计[J]. 纺织学报, 2021, 42(08): 156-160.
[9]	徐增波张玲. 基于复杂网络提取和支持向量机模型分类的服装领型研究[J]. 纺织学报, 0, (): 0-0.
[10]	徐增波, 张玲, 张艳红, 陈桂清. 基于复杂网络提取和支持向量机模型分类的服装领型研究[J]. 纺织学报, 2021, 42(06): 146-152.
[11]	任艳博, 蒋超, 王教庆, 俞琳, 王园园. 基于聚类算法和色彩网络的蝴蝶色彩分析及应用[J]. 纺织学报, 2021, 42(05): 103-108.
[12]	郑晓萍, 刘成霞. 基于激光测量的机织服装起拱性客观评价[J]. 纺织学报, 2021, 42(05): 143-149.
[13]	张益洁, 李涛, 吕叶馨, 杜磊, 邹奉元. 服装松量设计及表征模型构建研究进展[J]. 纺织学报, 2021, 42(04): 184-190.
[14]	张卓, 丛洪莲, 蒋高明, 董智佳. 基于交互式遗传算法的Polo衫快速款式推荐系统[J]. 纺织学报, 2021, 42(01): 138-144.
[15]	冀艳波, 王玲丽, 刘凯旋. 基于数字化三维人体模型的旗袍定制设计[J]. 纺织学报, 2021, 42(01): 133-137.

基于网络关系模型的品牌女装配色解析

Color parsing of female brand clothing based on nexus network modeling

RichHTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 14

相关文章 15

Metrics

本文评价

推荐阅读 10