OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 23, Issue 4, 76(2025)

Research on Terahertz Imaging Feature Recognition Algorithm

QIN Jun-jie1, XU Zhen-ye2, HAO Cong-jing3, WANG Ke-jia1, YANG Zhen-gang1, and LIU Jin-song1
Author Affiliations
  • 1School of Optics and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2Research Institute for Special Structures of Aeronautical Composites of AVIC, Jinan 250023, China
  • 3Beijing Great Wall Aviation Measurement and Control Technology Research Institute, Aviation Industry Corporation of China, Beijing 100111, China
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    References(9)

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    [9] [9] Chernomyrdin N V, Skorobogatiy M, Gavdush A A,et al. Quantitative super-resolution solid immersion microscopy via refractive index profile reconstruction[J]. Optica, 2021, 8(11): 1471-1480.

    [11] [11] Kriegeskorte N. Deep neural networks: A new framework for modeling biological vision and brain information processing[J]. Annual Review of Vision Science, 2015, 1: 417-446.

    [12] [12] Lai Y T K, Hu J S. A texture generation approach for detection of novel surface defects[C]. 2018 IEEE International Conference on Systems, Man, and Cybernetics(SMC), Miyazaki, Japan, 2018: 4357-4362.

    [13] [13] Yuan, , Lei. FM-Unet: Biomedical image segmentation based on feedback mechanism Unet[J]. Mathematical Biosciences and Engineering, 2023, 20(7): 12039-12055.

    [14] [14] Shufan G, Zhaorui W, Ruixuan L,et al. Medical image segmentation method based on improved Unet[J]. Journal of Physics: Conference Series, 2023, 2547.

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    QIN Jun-jie, XU Zhen-ye, HAO Cong-jing, WANG Ke-jia, YANG Zhen-gang, LIU Jin-song. Research on Terahertz Imaging Feature Recognition Algorithm[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2025, 23(4): 76

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    Paper Information

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    Received: Jul. 1, 2024

    Accepted: Aug. 12, 2025

    Published Online: Aug. 12, 2025

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