Journal of Applied Optics, Volume. 44, Issue 1, 93(2023)

Particles image detection based on Mask R-CNN combined with edge segmentation

Xuan LI, Zhou YANG, Xinyu TAO, Xiaojie WANG, Xutao MO, and Xianshan HUANG*
Author Affiliations
  • School of Mathematics and Physics, Anhui University of Technology, Ma'anshan 243002, China
  • show less
    References(11)

    [5] [5] RONNEBERGER O, FISCHER P, BROX T. U-net: convolutional networks for biomedical image segmentation[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. USA: IEEE, 2015: 234-241.

    [7] [7] CAI Zhaowei, VASCONCELOS N. Cascade R-CNN: delving into high quality object detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2018: 6154-6162.

    [8] [8] LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot multibox detector[C]// European Conference on Computer Vision. [S. l. ]: arxiv, 2016: 21-37.

    [9] [9] REDMON J, FARHADI A. YOLOv3: an incremental improvement[EB/OL]. (2018-08-08)[2022-01-22] https://arxiv.org/abs/1804.02767?fbclid=IwAR3A2nyK8EPa-JcoGp_N6tNqVkKOmy2J1ip5AYcEki5FzkZ62E3z6tbNSy0

    [11] [11] LI Y, QI H, DAI J, et al. Fully convolutional instance-aware semantic segmentation[C]// IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2017: 4438-4446.

    [17] [17] LI Xialin. Paticle defect detection based on machine vision[D]. Chengdu: University of Electronic Science and Technology of China, 2019.

    [18] [18] SHEN Zhichao. Research on detection algorithm of granular cropsbased on YOLO[D]. Harbin: Harbin Institute of Technology, 2021

    [19] [19] XIE Tao. Research on recognition of fine-grained minerals based on deep learning[D]. Xuzhou: China University of Mining and Technology, 2020.

    [20] [20] HUANG G, LIU Z, et al. Densely connected convolutional networks[C]// IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2017: 2261-2269.

    [22] [22] JIE H, LI S, ALBANIE S, et al. Squeeze-and-excitation networks[C]//IEEE Transactions on Pattern Analysis and Machine Intelligence. USA: IEEE, 2017 : 99.

    [23] [23] WOO S H, PARK J C, LEE J Y, et al. CBAM: convolutional block attention module[C]// European Conference on Computer Vision. [S. l. ]: arxiv, 2018: 3–19.

    Tools

    Get Citation

    Copy Citation Text

    Xuan LI, Zhou YANG, Xinyu TAO, Xiaojie WANG, Xutao MO, Xianshan HUANG. Particles image detection based on Mask R-CNN combined with edge segmentation[J]. Journal of Applied Optics, 2023, 44(1): 93

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Jan. 22, 2022

    Accepted: --

    Published Online: Feb. 22, 2023

    The Author Email: Xianshan HUANG (Huangxs@ahut.edu.cn)

    DOI:10.5768/JAO202344.0102005

    Topics