Digital Redesign of Hakka Embroidery Patterns in Southern Jiangxi Province

WEN Fang; CHEN Yi; LUO Kunming

doi:10.19554/j.cnki.1001-3563.2025.20.044

PDF(12741 KB)

Packaging Engineering ›› 2025, Vol. 46 ›› Issue (20) : 472-481. DOI: 10.19554/j.cnki.1001-3563.2025.20.044

Design Discussion

Digital Redesign of Hakka Embroidery Patterns in Southern Jiangxi Province

WEN Fang¹, CHEN Yi¹, LUO Kunming²

Author information +

History +

Abstract

The work aims to clarify the direction and strategy of digital redesign of Hakka embroidery patterns in southern Jiangxi and quickly generate pattern design with rich artistic effects through digital means, so as to promote the inheritance and development of Hakka culture in southern Jiangxi. The traditional craft and culture are facing the transformation in the development of modern science and technology. The cultural industry is gradually stepping into the digital age. With the help of digital technology, the sustainable development of intangible cultural heritage can be realized. In order to generate an innovative embroidery pattern design scheme in line with users' preferences, a style transfer algorithm based embroidery pattern design method was proposed. Firstly, the experiment of image recognition of Hakka embroidery patterns in southern Jiangxi was carried out by ResNet based on convolutional neural network, and the image recognition model was established. Secondly, based on Cycle-Consistent Adversarial Networks (CycleGAN) was employed to build a design scheme generation model of Hakka embroidery patterns in southern Jiangxi, which could automatically and innovatively generate pattern design schemes in line with certain style characteristics. Finally, the designer took the creative image as the source of inspiration to participate in the detailed adjustment of the generated image, and design the embroidery pattern with various style characteristics. This method can be used to explore the application of artificial intelligence technology in the development of embroidery patterns, providing more comprehensive and rich new materials for the creation of embroidery patterns, so as to promote the sustainable development and innovation of Hakka embroidery culture in southern Jiangxi, and enable the inheritance and development of more intangible cultural heritage.

Key words

Hakka embroidery in southern Jiangxi / digitization / style transfer technique / image recognition / redesign

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

WEN Fang, CHEN Yi, LUO Kunming. Digital Redesign of Hakka Embroidery Patterns in Southern Jiangxi Province[J]. Packaging Engineering. 2025, 46(20): 472-481 https://doi.org/10.19554/j.cnki.1001-3563.2025.20.044

References

[1] 李刚, 陈玉. 新时代生态文明教育的背景、使命与展望[J]. 现代教育管理, 2024(9): 11-21.
LI G, CHEN Y. The Background, Mission and Prospects of Ecological Civilization Education in the New Era[J]. Modern Education Management, 2024(9): 11-21.
[2] 赵洪菊, 王国良, 拜永山, 等. 地质遗迹资源和旅游地质文化内涵探析: 以青藏高原东北缘东岔地质文化村构建为例[J]. 现代地质, 2024, 38(5): 1400-1412.
ZHAO H J, WANG G L, BAI Y S, et al.Exploring Geoheritage and Tourism-Geological Culture: A Case Study of Dongcha Geological Culture Village, Northeast Qinghai-Tibet Plateau[J]. Geoscience, 2024, 38(5): 1400-1412.
[3] 蔡克中, 韩若男, 汤繁希. 基于赣南采茶戏视觉元素的文创产品设计研究[J]. 包装工程, 2022, 43(24): 227-236.
CAI K Z, HAN R N, TANG F X.Cultural and Creative Product Design Based on Visual Elements of Gannan Tea Picking Opera[J]. Packaging Engineering, 2022, 43(24): 227-236.
[4] 刘宗明, 洪唯, 龙睿, 等.基于自注意机制的乳源瑶绣自动生成与应用研究[J].图学学报, 2024, 45(5): 1096-1105.
LIU Z M, HONG W, LONG R, et al.Research on Automatic Generation and Application of Milk Source Yao Embroidery Based on Self-Attention Mechanism[J]. Journal of Graphics, 2024, 45(5): 1096-1105.
[5] 杨京玲, 陈燕雯. 基于AIGC的桃花坞木版年画在家居设计中的创新应用研究[J]. 包装工程, 2024, 45(12): 465-473.
YANG J L, CHEN Y W.Innovative Application of AIGC-Based Taohuawu Woodcut New Year Paintings in Home Furnishing Design[J]. Packaging Engineering, 2024, 45(12): 465-473.
[6] 罗仕鉴, 张泷予, 田馨, 等. 蜡染产品数智设计技术研究热点与发展趋势[J]. 丝绸, 2024, 61(7): 1-13.
LUO S J, ZHANG L Y, TIAN X, et al.Hot Spots and Development Trends of Digital Intelligent Design Technology Research on Batik Products[J]. Journal of Silk, 2024, 61(7): 1-13.
[7] 张悦, 高安格. 人工智能背景下凤阳凤画数字化设计创新研究[J]. 包装工程, 2023, 44(24): 50-57.
ZHANG Y, GAO A G.Digital Design Innovation of Fengyang Phoenix Painting under the Background of Artificial Intelligence[J]. Packaging Engineering, 2023, 44(24): 50-57.
[8] 张帆, 苏艺, 崔强, 等. 传统服饰纹样生成设计研究[J]. 包装工程, 2023, 44(4): 1-8.
ZHANG F, SU Y, CUI Q, et al.Generation Design of Traditional Costume Pattern[J]. Packaging Engineering, 2023, 44(4): 1-8.
[9] KAMILARIS A, PRENAFETA-BOLDÚ F X. Deep Learning in Agriculture: A Survey[J]. Computers and Electronics in Agriculture, 2018, 147: 70-90.
[10] 蒋汶秦, 闫竞文, 罗芊芊, 等. 基于蝴蝶呈色风格的毛衫花型设色迁移研究[J]. 针织工业, 2024(5): 75-79.
JIANG W Q, YAN J W, LUO Q Q, et al.Study of Pattern Coloration of Knitted Sweaters Based on Butterfly Color Style[J]. Knitting Industries, 2024(5): 75-79.
[11] GUO Y M, LIU Y, OERLEMANS A, et al.Deep Learning for Visual Understanding: A Review[J]. Neurocomputing, 2016, 187: 27-48.
[12] WEI G F, LI G, ZHAO J, et al.Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses[J]. Sensors, 2019, 19(1): 217.
[13] GUAN Q, WANG Y J, PING B, et al.Deep Convolutional Neural Network VGG-16 Model for Differential Diagnosing of Papillary Thyroid Carcinomas in Cytological Images: A Pilot Study[J]. Journal of Cancer, 2019, 10(20): 4876-4882.
[14] 朱振威, 苗嘉伟, 祝夏雨, 等. 基于机器学习方法的锂电池剩余寿命预测研究进展[J]. 储能科学与技术, 2024, 13(9): 3134-3149.
ZHU Z W, MIAO J W, ZHU X Y, et al.Research Progress in Lithium-Ion Battery Remaining Useful Life Prediction Based on Machine Learning[J]. Energy Storage Science and Technology, 2024, 13(9): 3134-3149.
[15] 钦松, 刘宝骏, 白晓波, 等.基于生成式人工智能的耀州青瓷传统牡丹纹饰构建与再塑研究[J]. 包装工程, 2025, 46(18): 380-389.
QIN S, LIU B J, BAI X B, et al.Research on the Construction and Reconstruction of Traditional Peony Patterns of Yaozhou Celadon Based on Generative Artificial Intelligence[J]. Packaging Engineering, 2025, 46(18): 380-389.
[16] 丁满, 孙鸣宇, 冯光宇. 技术视阈下产品色彩情感设计研究综述与展望[J]. 包装工程, 2023, 44(16): 10-21.
DING M, SUN M Y, FENG G Y.Review and Prospect of Product Color Emotion Design from the Perspective of Technology[J]. Packaging Engineering, 2023, 44(16): 10-21.
[17] WANG K F, GOU C, DUAN Y J, et al.Generative Adversarial Networks: Introduction and Outlook[J]. IEEE/ CAA Journal of Automatica Sinica, 2017, 4(4): 588-598.
[18] 蒋舒颖, 李志明, 莫贤, 等. 融合注意力的主动迭代优化白细胞图像分类模型[J]. 中国生物医学工程学报, 2024, 43(4): 408-418.
JIANG S Y, LI Z M, MO X, et al.Active Iterative Optimization of Leukocyte Image Classification Model with Fused Attention[J]. Chinese Journal of Biomedical Engineering, 2024, 43(4): 408-418.
[19] 庄建军, 吴晓慧, 景生华, 等. 多尺度特征融合的改进残差网络乳腺癌病理图像分类[J]. 中国生物医学工程学报, 2024, 43(4): 419-428.
ZHUANG J J, WU X H, JING S H, et al.Improved Residual Network Classification of Breast Cancer Pathological Images Based on Multi-Scale Feature Fusion[J]. Chinese Journal of Biomedical Engineering, 2024, 43(4): 419-428.
[20] 李生虎, 王莉莉. 人工智能在类风湿性关节炎影像评估中的研究进展[J]. 磁共振成像, 2024, 15(8): 229-234.
LI S H, WANG L L.Research Progress of Artificial Intelligence in Imaging Evaluation of Rheumatoid Arthritis[J]. Chinese Journal of Magnetic Resonance Imaging, 2024, 15(8): 229-234.
[21] 郑若婷, 于文轩, 赵昊雪, 等.“AI驱动的社会科学研究与公共治理新范式的构建”高端学术论坛综述[J]. 公共管理学报, 2024, 21(1): 161-166.
ZHENG R T, YU W X, ZHAO H X, et al.The Review of the "AI for Social Science Research and the Construction of a New Paradigm of Public Governance" High-End Academic Forum[J]. Journal of Public Management, 2024, 21(1): 161-166.
[22] 张昀, 黄橙, 施健, 等. 一种基于生成对抗架构的目标检测增强算法[J]. 计算机学报, 2024, 47(3): 647-661.
ZHANG Y, HUANG C, SHI J, et al.An Enhanced Algorithm for Object Detection Based on Generative Adversarial Structure[J]. Chinese Journal of Computers, 2024, 47(3): 647-661.
[23] TOV O, ALALUF Y, NITZAN Y, et al.Designing an Encoder for StyleGAN Image Manipulation[J]. ACM Transactions on Graphics, 2021, 40(4): 1-14.
[24] 屠杭垚, 王万良, 陈嘉诚, 等. 基于条件生成对抗网络的图像翻译综述[J]. 计算机辅助设计与图形学学报, 2024, 36(1): 14-32.
TU H Y, WANG W L, CHEN J C, et al.A Survey of Image Translation Based on Conditional Generative Adversarial Networks[J]. Journal of Computer-Aided Design & Computer Graphics, 2024, 36(1): 14-32.
[25] 张付祥, 徐兆洋, 李俊慧, 等. 改进CycleGAN的钢材表面缺陷图像生成方法[J]. 河北科技大学学报, 2023, 44(6): 571-579.
ZHANG F X, XU Z Y, LI J H, et al.Image Generation Method for Steel Surface Defects on Improved CycleGAN[J]. Journal of Hebei University of Science and Technology, 2023, 44(6): 571-579.
[26] 王甲, 项刘宇, 黄昱博, 等. 先验引导的虹膜图像盲修复算法[J]. 计算机科学, 2023, 50(12): 148-155.
WANG J, XIANG L Y, HUANG Y B, et al.Prior-Guided Blind Iris Image Restoration Algorithm[J]. Computer Science, 2023, 50(12): 148-155.
[27] 王冬, 秦倩倩, 郭开天, 等. 联邦学习中的模型逆向攻防研究综述[J]. 通信学报, 2023, 44(11): 94-109.
WANG D, QIN Q Q, GUO K T, et al.Survey on Model Inversion Attack and Defense in Federated Learning[J]. Journal on Communications, 2023, 44(11): 94-109.
[28] 朱俊宏, 赖俊宇, 甘炼强, 等. 结合内卷与卷积算子的视频预测模型[J]. 计算机应用, 2024, 44(1): 113-122.
ZHU J H, LAI J Y, GAN L Q, et al.Video Prediction Model Combining Involution and Convolution Operators[J]. Journal of Computer Applications, 2024, 44(1): 113-122.