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Analysis and Application of Yi Embroidery Color Characteristics Based on K-Means Clustering

conferencePaper

DOI:10.1109/CoST64302.2024.00088
Authors: Wang Xinjia / Zhou Wei / Xu Jifeng

Extracted Abstract:

—Yi embroidery is one of the outstanding intangible cultural heritages of the Yi people, serving as a vital conduit for the transmission of Yi culture and a testament to the integration of Chinese national cultures. The colors in Yi embroidery reflect deep cultural meanings and possess significant cultural value. This study employs the K-Means clustering algorithm for the extraction and analysis of color characteristics in Yi embroidery, and uses graph theory to construct a network model of representative Yi embroidery colors, creating a data visualization engine for Yi embroidery color coordination. The results demonstrate that the characteristic colors extracted via the K- Means clustering algorithm are highly representative, and the color network model developed in this study provides objective and clear color matching relationships. The findings aim to assist in the modern design transformation of Yi embroidery and promote the innovative development of the cultural industry. Keywords—Yi Embroidery; Color Characteristics; K-Means Clustering Algorithm; Color Extraction; Design Application I.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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