Empowering Textile Art Design with Digital Cultural Heritage Resources: A Study on Quantitative Application of Feature Extraction and Design Element Transformation
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Abstract
Cultural relics, especially historical textiles and decorative motifs, contain rich artistic value and craftsmanship information, providing important digital resources for contemporary textile art design. High-precision digital acquisition and storage can support the permanent preservation and dissemination of cultural heritage, while feature extraction technology can systematically identify key visual elements such as color, pattern, shape, and texture. This study constructs a technical framework covering data acquisition, feature analysis, element transformation, and application verification. Quantitative methods are used to transform subjective descriptions of cultural relic features into objective measurements, providing operable data support for textile design. Technical approaches including color space conversion, morphological parametric modeling, spectral analysis, and texture feature quantification establish a bridge between cultural relic resources and design practice. Based on mathematical models and algorithms, the transformation process realizes accurate mapping from traditional symbols to modern textile applications. The study provides a scientific pathway for the creative transformation of cultural heritage and promotes the dynamic utilization of traditional culture in textile art design.
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References
S. Peng, S. Cui, X. Zhao, J. Wang, S. Qu, and X. Peng, “Multi-scale feature extraction and gradient attention-based method for sketch extraction of painted cultural relics,” Applied Intelligence, vol. 55, no. 12, Art. no. 892, 2025, doi: 10.1007/S10489-025-06788-5.
V. Melnyk, “Parametric pattern design for manually knitted textile panels,” Digital Creativity, vol. 36, no. 3, pp. 167-177, 2025, doi: 10.1080/14626268.2025.2514120.
K. Kuenzli, “Anni Albers, Textiles: Defining Industrial Design at the Museum of Modern Art,” The Art Bulletin, vol. 107, no. 2, pp. 116-147, 2025, doi: 10.1080/00043079.2025.2505394.
X. Nie and L. Zhao, “Traditional Cultural Symbols in Virtual Costume Design: Presenting Intangible Heritage in the Digital Age,” Applied Mathematics and Nonlinear Sciences, vol. 10, no. 1, pp. 1-13, 2025, doi: 10.2478/AMNS-2025-0358.
L. Zhou and J. Shen, “Research on Digital Transformation and Design Innovation of Intangible Cultural Heritage in Modern Art Creative Products,” Applied Mathematics and Nonlinear Sciences, vol. 10, no. 1, pp. 1-14, 2025, doi: 10.2478/AMNS-2025-0366.
J. Cao, “Application of Intangible Cultural Heritage in the Teaching of Visual Communication Design in Vocational Colleges Under the Background of Digital Intelligence,” Innovation Humanities and Social Sciences Research, no. 20, pp. 23-30, 2024. [Online]. Available: https://www.elibrary.ru/item.asp?id=80457447.
K. Rob and W. Meagan, “Moving Matter: A methodology for material-led collaborations,” Theatre, Dance and Performance Training, vol. 15, no. 1, pp. 8-31, 2024, doi: 10.1080/19443927.2023.2278783.
Z. Dai, “The use of style migration network in textile and clothing art pattern design,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, pp. 1-13, 2024, doi: 10.2478/AMNS-2024-1038.
Z. Kazlacheva, J. Ilieva, P. Dineva, V. Stoykova, and Z. Zlatev, “Digital Color Images as a Tool for the Sustainable Use of Embroidery Elements from Folk Costumes,” Heritage, vol. 6, no. 8, pp. 5750-5778, 2023, doi: 10.3390/HERITAGE6080303.
A. B. Mandour, “The art of hanging textiles between individual style and design authenticity: Blended learning model in art education,” Art, Design & Communication in Higher Education, vol. 21, no. 2, pp. 191-216, 2023, doi: 10.1386/ADCH_00059_1.
D. I. Camelia, Z. Zlatin, I. Alexandru, B. Zharas, E. Pantea, N. Hodor, et al., “Interdisciplinary Research to Advance Digital Imagery and Natural Compounds for Eco-Cleaning and for Preserving Textile Cultural Heritage,” Sensors (Basel, Switzerland), vol. 22, no. 12, Art. no. 4442, 2022, doi: 10.3390/S22124442.
M. Limei, “Auxiliary Fiber Art Creation Design Based on Conductive Fiber Textile Wireless Structure Sensor,” Journal of Sensors, vol. 2021, Art. no. 3573702, 2021, doi: 10.1155/2021/3573702.
S. Andrea, B. Laura, and M. Lisa, “Teaching Lighting Design for Cultural Heritage in the Digital and Pandemic Era: Experiencing New and Old Techniques,” Heritage, vol. 4, no. 4, pp. 3731-3748, 2021, doi: 10.3390/HERITAGE4040205.
G. Chuan, “Research on Rapid Detection Electrochemical Sensor-Assisted Textile Art Design,” Journal of Sensors, vol. 2021, Art. no. 6573771, 2021, doi: 10.1155/2021/6573771.
C. Z. Zhang, “The Regeneration of Folk Art Intangible Heritage: Integration and Digitalization with Local Art Design,” Research and Commentary on Humanities and Arts, vol. 3, no. 9, 2025, doi: 10.70711/RCHA.V3I9.8142.
M. Yuan, “A Study on Digital Display Design of Facilial Cultural Heritage Based on Graph-Based Theory,” Art and Design, vol. 6, no. 5, 2023, doi: 10.31058/J.AD.2023.65010.