Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0228003(2022)

Classification of Sintered Flame Images Based on Improved Clustering Algorithm

Fubin Wang1, Rui Wang1、*, and Chen Wu2
Author Affiliations
  • 1College of Electrical Engineering, North China University of Science and Technology, Tangshan , Hebei 063210, China
  • 2Tang Steel International Engineering Technology Co., Ltd., Tangshan , Hebei 063000, China
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    References(12)

    [1] Jin Y L, He Z J, Wang C. Analysis on low carbon emission of blast furnace with different raw materials structure[J]. Iron & Steel, 54, 8-16(2019).

    [2] Liu S Q. Application of reasonable burden structure of 2500 m3 blast furnace in Xinyu steel[J]. Jiangxi Metallurgy, 38, 13-16(2018).

    [3] Zhou Y R. Research on on-line evaluation system of sintering quality grade based on tail section image and bellows temperature[D](2013).

    [9] Zhang J Y, Li Z Y. Kernel-based algorithm with weighted spatial information intuitionistic fuzzy C-means[J]. Journal of Electronics & Information Technology, 39, 2162-2168(2017).

    [12] Gao Y L, Wang Z H, Pan J Y et al. Robust fuzzy C-means based on adaptive relaxation[J]. Journal of Electronics & Information Technology, 42, 1774-1781(2020).

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    Fubin Wang, Rui Wang, Chen Wu. Classification of Sintered Flame Images Based on Improved Clustering Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0228003

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 4, 2021

    Accepted: Apr. 13, 2021

    Published Online: Dec. 29, 2021

    The Author Email: Rui Wang (18332725629@163.com)

    DOI:10.3788/LOP202259.0228003

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