Optics and Precision Engineering, Volume. 28, Issue 12, 2684(2020)

D osin g statu s id en tification an d froth flow featu re extraction based on im proved O R B in N SST dom ain

LIAO Yi-peng11,*... CHEN Shi-yuan1, YANG Jie-jie1, WANG Zhi-gang2 and WANG Wei-xing1 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(13)

    [1] [1] ZHANG J, TANG Z H, AI M X, et al.. Nonlinear modeling of the relationship between reagent dosage and flotation froth surface image by Hammerstein-Wiener model[J]. Minerals Engineering, 2018, 120(5): 19-28.

    [2] [2] AI M X, XIE Y F, XIE S W, et al.. Shape-weight. ed bubble size distribution based reagent predictive control for the antimony flotation process[J]. Che. mometrics & Intelligent Laboratory Systems, 2019, 192(8): 103821.

    [3] [3] TANG Z H, TANG L Y, ZHANG G Y, et al.. In. telligent setting method of reagent dosage based on time series froth image in zinc flotation process[J]. Processes, 2020, 8(536): 8050536.

    [4] [4] LI Z M, GUI W H, ZHU J Y. Fault detection in flotation processes based on deep learning and sup. port vector machine[J]. Journal of Central South University, 2019, 26(9): 2504-2515.

    [5] [5] CAO B F, XIE Y F, GUI W H, et al.. Coordinated optimization setting of reagent dosages in roughing-scavenging process of antimony flotation[J]. Journal of Central South University, 2018, 25(1): 95-106.

    [7] [7] WANG Y L, SUN B, ZHANG R Q, et al.. Sul. fur flotation performance recognition based on hierar. chical classification of local dynamic and static froth features[J]. IEEE Access, 2018, 6(3): 14019-14029.

    [8] [8] NAKHAEI F, IRANNAJAD M, MOHAMMAD. NEJAD S. Evaluation of column flotation froth be. havior by image analysis: effects of operational fac. tors in desulfurization of iron ore concentrate[J]. En. ergy Sources, Part A: Recovery, Utilization, and En. vironmental Effects, 2018, 40(19): 2286-2306.

    [9] [9] NAKHAEI F, IRANNAJAD M, MOHAMMAD. NEJAD S. Column flotation performance predic. tion: PCA, ANN and image analysis-based ap. proaches[J]. Physicochemical Problems of Mineral Processing, 2019, 55(5): 1298-1310.

    [10] [10] RUBLEE E, RABAUND V, KONOLIGE K, et al.. ORB: An efficientalternative to SIFT or SURF[C]. Int Conf on Computer Vision. Barcelo. na: IEEE, 2011: 2564-2571.

    [11] [11] GANASALA P, PRASAD A D. Contrast en. hanced multi sensor image fusion based on guided image filter and NSST[J]. IEEE Sensors Journal, 2020, 20(2): 339-346.

    [13] [13] DONG Q, LIU JH, WANG C, et al.. Image mosaic algorithm based on improved BRISK[J]. Journal of Electronics& Information Technology, 2017, 39(2): 444-450.

    CLP Journals

    [1] SHI Wenling, LIAO Yipeng, XU Zhimeng, YAN Xin, ZHU Kunhua. Foam Flow Rate Detection Based on Infrared Target Segmentation and SURF Matching in NSST Domain[J]. Infrared Technology, 2023, 45(5): 463

    Tools

    Get Citation

    Copy Citation Text

    LIAO Yi-peng1, CHEN Shi-yuan, YANG Jie-jie, WANG Zhi-gang, WANG Wei-xing. D osin g statu s id en tification an d froth flow featu re extraction based on im proved O R B in N SST dom ain[J]. Optics and Precision Engineering, 2020, 28(12): 2684

    Download Citation

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

    Category:

    Received: May. 11, 2020

    Accepted: --

    Published Online: Jan. 19, 2021

    The Author Email: Yi-peng1 LIAO (fzu_lyp@163.com)

    DOI:10. 37188/ope. 20202812. 2684

    Topics