Article
Research on Digital Virtual Interaction Technology for Intelligent Image Recognition in Woodcarving Protection
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Abstract
Advances in AI and VR have enhanced digital virtual interaction, crucial for preserving wood carving art. This study introduces an optimized system using intelligent image recognition, overcoming challenges in current systems. It involves image collection, noise reduction, feature extraction, normalization, and transfer learning-based model training. The system achieved a 93.34% recognition accuracy, surpassing traditional methods and improving overall performance.
Keywords
Wood Carving Protection, Intelligent Image Recognition, Digital Virtual Interaction, Feature Extraction, Transfer Learning, 68-04
Citation
Yu, X. & Dai, Y. (2024). Research on digital virtual interaction technology for intelligent image recognition in woodcarving protection. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0848
X. Yu and Y. Dai, “Research on digital virtual interaction technology for intelligent image recognition in woodcarving protection,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, 2024, doi: 10.2478/amns-2024-0848.
Yu X, Dai Y. Research on digital virtual interaction technology for intelligent image recognition in woodcarving protection. Applied Mathematics and Nonlinear Sciences. 2024;9(1). doi:10.2478/amns-2024-0848.
Yu, X. and Dai, Y. (2024), ‘Research on digital virtual interaction technology for intelligent image recognition in woodcarving protection’, Applied Mathematics and Nonlinear Sciences, 9(1). Available at: https://doi.org/10.2478/amns-2024-0848.
Yu, Xinyong, and Yanli Dai. “Research on Digital Virtual Interaction Technology for Intelligent Image Recognition in Woodcarving Protection.” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, 2024. https://doi.org/10.2478/amns-2024-0848.
Yu, Xinyong, and Yanli Dai. “Research on Digital Virtual Interaction Technology for Intelligent Image Recognition in Woodcarving Protection.” Applied Mathematics and Nonlinear Sciences 9, no. 1 (2024). https://doi.org/10.2478/amns-2024-0848.
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Published by: Engineering Journals


