Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (11): 137-142.doi: 10.13475/j.fzxb.20210100207

• Apparel Engineering • Previous Articles     Next Articles

Color parsing of female brand clothing based on nexus network modeling

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

  1. 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 Online:2021-11-15 Published:2021-11-29
  • Contact: XU Pinghua E-mail:shutexph@163.com

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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

CLC Number: 

  • TS941.2

Fig.1

Construction process of color nexus network model"

Fig.2

Process of clothing image color clustering"

Fig.3

Color nexus network model optimization process"

Fig.4

Interface of color analysis software"

Fig.5

Color analysis of three female brand clothing in 2000. (a) Brand C; (b) Brand F; (c) Brand G"

Tab.1

Three brands clothing color value in 2020"

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

Fig.6

Spring and summer color nexus network model during three years. (a) In 2018; (b) In 2019; (c) In 2020"

Fig.7

Autumn and winter color nexus network model during three years. (a) In 2018; (b) In 2019; (c) In 2020"

Fig.8

Comprehensive quarterly color nexus network model. (a) Sping and summer; (b) Autumn and winter"

Fig.9

Annual color nexus network model. (a) In 2018; (2)In 2019; (c)In 2020"

Tab.2

Brand C color value in 2020"

时尚季 色彩序号 2018年度 2019年度 2020年度 3年综合
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
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