Research on the Application of Painting Art in Textile Color Design

Jie Liu

Article
2026 / Volume 9 / Pages 307-325
Received 21 October 2025; Accepted 18 November 2025; Published 27 February 2026
https://doi.org/10.31881/TLR.2026.307

Abstract
The application of fine art to textile pattern design has historically been a subjective process. This research estab-lishes a quantitative methodology to inform computer-aided design (CAD) in textile printing, using Impressionist painting as a case study. The study employs digital image processing and CIE Lab* colorimetry to systematically analyze and extract color palettes from source artworks. A k-means clustering algorithm defines these palettes, which are then translated into five distinct surface patterns (G1-G5), incorporating specific control conditions de-signed to decouple color from structure. A consumer preference analysis (N=120) was conducted to evaluate the aesthetic appeal and color harmony of the resulting stimuli. Results from a repeated measures ANOVA indicate that while color palette was held constant, the pattern simulating the “broken color” technique (Design B) achieved significantly higher appeal (p < 0.001) compared to both the structure-agnostic entropy baseline (Design E) and the traditional commercial control (Design D). This study concludes that algorithmic structural organization plays an important role in shaping aesthetic preference under constant color conditions, providing a reliable framework for developing innovative textile products.

Keywords
digital textile printing, textile coloration, computer-aided textile design (CATD), textile pattern, impressionism