Laser Technology, Volume. 47, Issue 4, 547(2023)

Detection of prohibited items in X-ray images based on modified YOLOX algorithm

YUAN Jinhao1, ZHANG Nanfeng2, RUAN Jieshan2, and GAO Xiangdong1、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(19)

    [1] [1] JI Y K, GAO X D, LIU Q W, et al. Weld defect recognition method with magneto-optical imaging based on convolutional neural network[J]. Chinese Journal of Scientific Instrument, 2021, 42(2): 107-113(in Chinese).

    [2] [2] PEI R J, WANG Sh, WANG H Y. Research on fruit recognition detection algorithm based on improved YOLOv4[J]. Laser Technology,2023, 47(3): 400-406(in Chinese).

    [5] [5] GAO X D, ZHANG Y X. Monitoring of welding status by molten pool morphology during high-power disk laser welding[J]. Optik—International Journal for Light and Electron Optics, 2015, 126(19):1797-1802.

    [7] [7] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//IEEE Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA, USA: IEEE, 2014: 580-587.

    [8] [8] REN S,HE K, GIRSHICK R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.

    [9] [9] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: Unified, real-time object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA, USA: IEEE, 2016: 779-788.

    [10] [10] REDMON J, FARHADI A. YOLOv3: An incremental improvement[EB/OL].(2018-04-08)[2022-07-14]. https://arxiv.org/abs/1804.02767.

    [11] [11] VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]// Advances in Neural Information Processing Systems. Long Beach, CA, USA: Neural Information Processing Systems Foundation, 2017: 5999-6009.

    [12] [12] LIU Z , LIN Y , CAO Y , et al. Swin transformer: Hierarchical vision transformer using shifted windows[EB/OL].(2021-08-17)[2022-07-14]. https://arxiv.org/abs/2103.14030.

    [13] [13] CARION N, MASSA F, SYNNAEVE G, et al. End-to-end object detection with transformers[C]// Lecture Notes in Computer Science. Cham, Switzerland: Springer International Publishing, 2020: 213-229.

    [14] [14] SUBRAMANI M, RAJADUARI K, CHOUDHURY S D, et al. Eva-luating one stage detector architecture of convolutional neural network for threat object detection using X-ray baggage security imaging[J]. Revue d’Intelligence Artificielle, 2020, 34(4): 495-500.

    [15] [15] MIAO C J, XIE L G, WAN F, et al. SIXray: A large-scale security inspection X-ray benchmark for prohibited item Discovery in overlapping images[C]// IEEE Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA, USA: IEEE, 2019:2114-2019.

    [16] [16] GUO Sh X, ZHANG L. YOLO-C: One-stage network for prohibited items detection within X-ray images[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810003(in Chinese).

    [17] [17] MU S Q, LIN J J, WANG H Q, et al. An algorithm for detecting prohibited items in X-ray images based on improved YOLOv4[J]. Acta Armamentarii, 2021, 42(12): 2675-2683(in Chinese).

    [18] [18] GE Z, LIU S, WANG F, et al. YOLOX: Exceeding YOLO series in 2021[EB/OL].(2021-08-06)[2022-07-14]. https://arxiv.org/abs/2107.08430.

    [19] [19] GUO M, LU C, LIU Z, et al. Visual attention network[EB/OL].(2022-07-11)[2022-07-14]. https://arxiv.org/abs/2202.09741.

    [20] [20] WOO S H, PARK J, LEE J Y, et al. CBAM: Convolutional block attention module[C]// Lecture Notes in Computer Science. Cham, Switzerland: Springer International Publishing, 2018: 3-19.

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    YUAN Jinhao, ZHANG Nanfeng, RUAN Jieshan, GAO Xiangdong. Detection of prohibited items in X-ray images based on modified YOLOX algorithm[J]. Laser Technology, 2023, 47(4): 547

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    Paper Information

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    Received: Jun. 13, 2022

    Accepted: --

    Published Online: Dec. 11, 2023

    The Author Email: GAO Xiangdong (gaoxd@gdut.edu.cn)

    DOI:10.7510/jgjs.issn.1001-3806.2023.04.016

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