Analysis and Application of Color Characteristics of Mawangdui Silk Paintings Based on K-means Clustering

WU Kan, YANG Neng-hui

Packaging Engineering ›› 2023, Vol. 44 ›› Issue (16) : 305-314.

PDF(4332 KB)
PDF(4332 KB)
Packaging Engineering ›› 2023, Vol. 44 ›› Issue (16) : 305-314. DOI: 10.19554/j.cnki.1001-3563.2023.16.032

Analysis and Application of Color Characteristics of Mawangdui Silk Paintings Based on K-means Clustering

  • WU Kan, YANG Neng-hui
Author information +
History +

Abstract

The work aims to extract characteristic colors of Mawangdui silk paintings, and analyze the color matching relationship between silk paintings, so as to provide guidance for the color matching process of cultural and creative product design and show the cultural characteristics of silk paintings more accurately in the design. The optimized K-means clustering algorithm was used to extract the characteristic colors of silk paintings, and a standard color card of silk paintings was generated. Then, a color network model was established with the color proportion data and color adjacency relationship in the image, and the matching of primary and secondary colors was determined. Finally, a number of color matching populations were automatically generated by CorelDRAW plug-in color shuffle, and the feasibility of extracting characteristic colors of silk paintings and the operability of assisting color matching with color network model were verified by the fuzzy comprehensive evaluation method. The standard color card of silk painting extracted by K-means clustering method is representative in color design. Building a color network model and plug-in assisted color matching can improve the color matching efficiency of designers and provide a new idea for the color matching design process of cultural and creative products.

Key words

k-means clustering algorithm; color extraction; color matching design; color network model

Cite this article

Download Citations
WU Kan, YANG Neng-hui. Analysis and Application of Color Characteristics of Mawangdui Silk Paintings Based on K-means Clustering[J]. Packaging Engineering. 2023, 44(16): 305-314 https://doi.org/10.19554/j.cnki.1001-3563.2023.16.032
PDF(4332 KB)

Accesses

Citation

Detail

Sections
Recommended

/