Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (05): 103-108.doi: 10.13475/j.fzxb.20200808506

• Dyeing and Finishing & Chemicals • Previous Articles     Next Articles

Butterfly color analysis and application based on clustering algorithm and color network

REN Yanbo1, JIANG Chao1(), WANG Jiaoqing1, YU Lin1,2, WANG Yuanyuan1   

  1. 1. Apparel and Art Design College, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
    2. Key Laboratory of Modern Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University,Xi'an, Shaanxi 710072, China
  • Received:2020-08-21 Revised:2020-12-31 Online:2021-05-15 Published:2021-05-20
  • Contact: JIANG Chao E-mail:99708744@qq.com

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Abstract:

The colorful butterfly with unique natural beauty is not only a common design theme, but also an important source of design inspiration. In order to clarify the color of butterfly as well as its matching rules and help designers better reuse the color of butterfly, the color of butterfly was studied and analyzed by clustering algorithm and color network. The color images of eight different angles of a single butterfly were firstly clustered twice using the K-means clustering algorithm, the main colors of butterfly were extracted, and the standard color cards of 110 butterflies were constructed. Then, the butterfly standard color cards were clustered for the third time, and the butterfly color network model including 20 network nodes was established, combined with the actual matching relationship of butterfly color. The reliability of the color network model was verified by six butterfly samples. Finally, the feasibility and application value of standard color card and color network model as color matching assistant tools were verified by the example of silk scarf pattern color matching design. Research and application cases show that butterfly standard color card and color network model can provide effective assistance and support for designers in the process of color design.

Key words: K-means clustering algorithm, color extraction, color network model, butterfly color, color design

CLC Number: 

  • TS941.26

Fig.1

Comparison of effect before (a) and after (b) image preprocessing of Papilio polytes"

Fig.2

Main colors extraction result and proportion of single Papilio polytes image"

Fig.3

Papilio polytes color datebase (48 colors)"

Fig.4

Papilio polytes standard color card"

Fig.5

Standard color card for some butterflies"

Tab.1

RGB value and normalized proportion of color node"

色彩
编号		 色值 占比 色彩
编号		 色值 占比
R G B R G B
C1 186 138 18 1.00 C11 161 155 161 0.48
C2 232 134 14 0.60 C12 233 238 245 0.49
C3 214 167 107 0.62 C13 130 146 186 0.37
C4 166 154 114 0.63 C14 84 86 168 0.46
C5 82 79 29 0.84 C15 104 160 176 0.34
C6 125 96 29 0.78 C16 89 130 55 0.25
C7 181 13 11 0.58 C17 151 194 156 0.51
C8 227 20 27 0.54 C18 241 229 177 0.60
C9 250 85 121 0.37 C19 219 210 48 0.44
C10 2 2 8 0.87 C20 217 195 113 0.83

Fig.6

Butterfly color network model"

Fig.7

4 butterfly images. (a) Papilio polytes; (b) Morpho polyphemus; (c) Ornithoptera goliath; (d) Colias fieldii Ménétriēs"

Fig.8

Verification results of 4 images"

Fig.9

Silk scarf pattern line draft (a) and color analysis (b)"

Fig.10

Partial design schemes"

Fig.11

Silk scarf pattern color design D20"

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