Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction

Xiaoli Qi; Hongming Li

doi:10.47297/taposatWSP2633-456914.20250601

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Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction

6卷第1期

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Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction
Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction
Dongguan Polytechnic, Dongguan, Guangdong 523808, China
2025年6卷第1期页码：68-78
纸质出版日期：2025-01-21
DOI：10.47297/taposatWSP2633-456914.20250601
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(2025). Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction. 科技理论与实践（英文版）, 6(1), 68-78.

Qi Xiaoli,Li Hongming.Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction[J].Theory and Practice of Science and Technology,2025,06(01):68-78.
(2025). Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction. 科技理论与实践（英文版）, 6(1), 68-78. DOI： 10.47297/taposatWSP2633-456914.20250601.

Qi Xiaoli,Li Hongming.Digital Protection and Display of Cantonese Embroidery Patterns Based on CAD and Human-computer Interaction[J].Theory and Practice of Science and Technology,2025,06(01):68-78. DOI： 10.47297/taposatWSP2633-456914.20250601.

摘要

Abstract

In the digital preservation and display of Cantonese embroidery patterns

computer-human-computer interaction technology is particularly important. By utilizing computer-assisted human-machine interaction technology

this article presents a cutting-edge digital preservation and display of the image algorithm model for Xiangyun yarn patterns. The research method scanned high-resolution data by capturing the complex texture of auspicious cloud colours in Cantonese embroidery patterns. The use of image processing algorithms eliminates a series of noise generated during the process of capturing pattern tones and sharpens details. Following this

the refined image undergoes vectorization and precise modelling via CAD software

yielding an editable and scalable digital representation. Additionally

we've crafted an interactive exhibition system that immerses viewers in the cultural allure of Cantonese Embroidery through HCI. Experimental results demonstrate that our enhanced model outperforms the original AlexNet in embroidery classification

notably improving accuracy

recall

precision

and the F1 score. This underscores the significance of tailoring deep learning models to specific applications.

关键词

Keywords

references

Barrile, V.; Bernardo, E.; Bilotta, G.: An experimental HBIM processing: Innovative tool for 3D model reconstruction of morpho-typological phases for the cultural heritage, Remote Sensing, 14(5), 2022, 1288. https://doi.org/10.3390/rs14051288

Barrilea, V.; Fotiaa, A.; Bilottaa, G.: Integration of geomatics methodologies and creation of a cultural legacy app using augmented reality, Virtual Archaeology Review, 10(20), 2019, 40. https://doi.org/10.4995/var.2019.10361

Bombini, A.; Bofías, F.-G.-A.; Ruberto, C.; Taccetti, F.: A cloud-native application for digital restoration of Cultural Heritage using nuclear imaging: THESPIAN-XRF. Rendiconti Lincei, Scienze Fisiche e Naturali, 34(3), 2023, 867-887. https://doi.org/10.1007/s12210-023-01174-0

Chung, C.-Y.; Huang, S.-H.: Interactively transforming Chinese ink paintings into realistic images using a border enhance generative adversarial network, Multimedia Tools and Applications, 82(8), 2023, 11663-11696. https://doi.org/10.1007/s11042-022-13684-4

Gao, Y.; Feng, X.; Zhang, T.: Wallpaper texture generation and style transfer based on multi-label semantics, IEEE Transactions on Circuits and Systems for Video Technology, 2022(3), 2022, 32. https://doi.org/10.1109/TCSVT.2021.3078560

Gireesh, K.-T.-K.: Sustainable preservation and accessibility to cultural heritage in India, Library Hi Tech News, 40(2), 2023, 12-14. https://doi.org/10.1108/LHTN-02-2022-0029

Guo, C.; Dou, Y.; Bai, T.; Dai, X.; Wang, C.; Wen, Y.: Artverse: A paradigm for parallel human–machine collaborative painting creation in metaverses, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(4), 2023, 2200-2208. https://doi.org/10.1109/TSMC.2022.3230406

Han, X.; Wu, Y.; Wan, R.: A method for style transfer from artistic images based on depth extraction generative adversarial network, Applied Sciences, 13(2), 2023, 867. https://doi.org/10.3390/app13020867

Li, Z.; He, L.; Gao, D.: Ontology construction and evaluation for chinese traditional culture: towards digital humanity, KO KNOWLEDGE ORGANIZATION, 49(1), 2022, 22-39. https://doi.org/10.5771/0943-7444-2022-1

Liu, K.; Gao, Y.; Zhang, J.; Zhu, C.: Study on digital protection and innovative design of Qin opera costumes, Heritage Science, 10(1), 2022, 1-15. https://doi.org/10.1186/s40494-022-00762-x

Lu, W.-H.; Ni, Y.-H.; Cai, Z.-B.: User review data-driven product optimization design method, Journal of Computer-Aided Design & Computer Graphics, 34(03), 2022, 482-490. https://doi.org/10.3724/SP.J.1089.2022.19097

Trunfio, M.; Lucia, M.-D.; Campana, S.; Magnelli, A.: Innovating the cultural heritage museum service model through virtual reality and augmented reality: The effects on the overall visitor experience and satisfaction, Journal of Heritage Tourism, 17(1), 2022, 1-19. https://doi.org/10.1080/1743873X.2020.1850742

Wang, M.; Shao, Y.; Liu, H.: APST-flow: a reversible network-based artistic painting style transfer method, Computers, Materials & Continua, 75(3), 2023, 5229-5254. https://doi.org/10.32604/cmc.2023.036631

Wang, X.; Yang, S.; Wang, W.; Liu, J.: Artistic text style transfer: an overview of state-of-the-art methods and datasets, IEEE Signal Processing Magazine, 39(6), 2022, 10-17. https://doi.org/10.1109/MSP.2022.3196763

Zhou, Y.; Sun, J.; Huang, Y.: The digital preservation of intangible cultural heritage in china: a survey, Preservation, Digital Technology & Culture, 48(2), 2019, 95-103. https://doi.org/10.1515/pdtc-2019-0004

Zidianakis, E.; Partarakis, N.; Ntoa, S.; Dimopoulos, A.; Kopidaki, S.; Ntagianta, A.; Stephanidis, C.: The invisible museum: A user-centric platform for creating virtual 3D exhibitions with VR support, Electronics, 10(3), 2021, 363. https://doi.org/10.3390/electronics10030363

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