Infrared Technology, Volume. 46, Issue 3, 295(2024)

EnFCM Clustering Segmentation Method for Infrared Image of Electrical Equipments Based on Fusion Reconstruction

Peijin LIU1, Xiangrui ZHANG1、*, and Ping WEI2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(30)

    [1] [1] Kim H J, Lee J H, Baek D H, et al. A study on the thermal performance of batteries using thermal imaging and infrared radiation[J]. Journal of Industrial and Engineering Chemistry, 2017, 45: 360-365.

    [2] [2] ZHAO Qingsheng, WANG Yuying, WANG Xuping, et al. Substation infrared image segmentation based on novel threshold selection method[J]. Acta Optica Sinica, 2019, 39(8): 109-116.

    [3] [3] HUANG Zhihong, HONG Feng, HUANG Wei. Shape adaptation low rank representation for thermal fault diagnosis of power equipments[J]. Infrared Technology, 2022, 44(8): 870-874.

    [4] [4] ZHU Huiling, NIU Zhewen, HUANG Kecan, et al. Identification and location of infrared image for substation equipment based on single-stage object detection algorithm[J]. Electric Power Automation Equipment, 2021, 41(8): 217-224.

    [5] [5] CHEN Da, HE Quancai, DI Erzhen, et al. Application of partial differential segmentation model with adaptive weight in infrared image of substation equipment[J]. Infrared Technology, 2022, 44(2): 179-188.

    [6] [6] GUO Feng, ZHEN Lei, GE Huangxu, et al. Infrared image segmentation method based on fuzzy clustering with similarity thresholding[J]. Infrared Technology, 2022, 44(8): 863-869.

    [7] [7] WANG Xiaofei, HU Fankui, HUANG Shuo. Infrared image segmentation algorithm based on distribution information intuitionistic fuzzy c-means clustering[J]. Journal on Communications, 2020, 41(5): 120-129.

    [8] [8] XING Zhikai, JIA He, SONG Wenlong. Levy flight trajectory-based salpswarm algorithm for multilevel thresholding image segmentation[J]. Acta Automatica Sinica, 2021, 47(2): 363-377.

    [9] [9] LI Yunhong, ZHANG Qiuming, ZHOU Xiaoji, et al. Watershed image segmentation algorithm based on morphology and region merging[J]. Computer Engineering and Applications, 2020, 56(2): 190-195.

    [10] [10] ZHOU Kehui, LIAO Zhiwei, XIAO Yiyao, et al. Construction of infrared image classification model for power equipment based on improved CNN[J]. Infrared Technology, 2019, 41(11): 1033-1038.

    [11] [11] Krinidis S, Chatzis V. A Robust fuzzy local information c-means clustering algorithm[J]. IEEE Transactions on Image Processing, 2010, 19(5): 1328-1337.

    [12] [12] GONG M G, ZHOU Z Q, MA J J. Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering[J]. IEEE Transactions on Image Processing, 2012, 21(4): 2141-2151.

    [13] [13] WANG Xiaopeng, ZHANG Yongfang, WANG Wei, et al. Image segmentation using fast generalized fuzzy c-means clustering based on adaptive filtering[J]. Pattern Recognition and Artificial Intelligence, 2018, 31(11): 1040-1046.

    [14] [14] LI Changxing, ZHANG Xiaolu, LEI Liu. Non-local fuzzy clustering image segmentation algorithm based on particle swarm optimization[J]. Journal of Optoelectronics Laser, 2019, 30(7): 759-767.

    [15] [15] HUO Zhongcai. Research of Image Segmentation Algorithm Based on Improved FCM[D]. Lanzhou: Lanzhou Jiaotong University, 2019.

    [16] [16] WANG Qingsheng, WANG Xiaopeng, FANG Chao, et al. Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation[J]. Applied Soft Computing, 2020, 92: 106318.

    [17] [17] LEI Tao, JIA Xiaohong, ZHANG Yanning, et al. Significantly fast and robust fuzzy c-means clustering algorithm based on morphological reconstruction and membership filtering[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(5): 3027-3041.

    [18] [18] LIU Jianqiu, RUAN Qiuqi. The research and application of morphological filter by reconstruction[J]. Journal on Communications, 2002(1): 116-121.

    [19] [19] YUAN Qianqian, DENG Hongmin, WANG Xiaohang. Citrus disease and insect pest area segmentation based on superpixel fast fuzzy C -means clustering and support vector machine[J]. Journal of Computer Applications, 2021, 41(2): 563-570.

    [20] [20] LIU Yue, WANG Xiaopeng, WANG Jinquan, et al. Watershed algorithm for brain tumor segmentation based on morphological reconstruction and gradient layered modification[J]. Application Research of Computers, 2015, 32(8): 2487-2491.

    [21] [21] WANG Xiaopeng, LI Xinna, YANG Wenting. Road extraction from remote sensing image based on adaptive morphological reconstruction[J]. Science of Surveying and Mapping, 2022, 47(5): 83-90.

    [22] [22] LEI Tao, JIA Xiaohong, LIU Tongliang, et al. Adaptive morphological reconstruction for seeded image segmentation[J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 2019, 28(11): 5510-5523.

    [23] [23] CHEN Xiao, SHEN Hongjian, LI Fei, et al. Salient text detection method based on spectral residual and stroke width transform[J]. Journal of Jilin University: Science Edition, 2017, 55(6): 1528-1532.

    [24] [24] SHEN Hongjian. Research on the Feature Recognition System of Agricultural Vehicle License Plates[D]. Changchun: Jilin Agricultural University, 2020.

    [25] [25] LUO Qijun, CAO Zhifen, NIU Guochen. Super-pixel segmentation of air baggage image based on enhanced fuzzy clustering[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(S2): 205-212.

    [26] [26] ZHANG Congxuan, PEI Liuji, CHEN Zhen, et al. RGBD scene flow estimation based on FRFCM clustering and depth optimization[J]. Acta Electronica Sinica, 2020, 48(7): 1380-1386.

    [27] [27] JIA Xiaohong, LEI Tao, DU Xiaogang, et al. Robust self-sparse fuzzy clustering for image segmentation[J]. IEEE Access, 2020, 9: 146182-146195.

    [28] [28] LEI Tao, LIU Peng, JIA Xiaohong, et al. Automatic fuzzy clustering framework for image segmentation[J]. IEEE Transactions on Fuzzy Systems, 2020, 9(28) :2078-2092.

    [29] [29] LI Chunming, HUANG Rui, DING Zhaohua, et al. A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI[J]. IEEE Transactions on Image Processing, 2011, 20(7): 2007-2016.

    [30] [30] SONG Xiaopeng, LI Guoxiong, ZHANG Quan, et al. An FCM algorithm incorporating with local and non-local information for image segmentation[J]. Fire Control & Command Control, 2020, 45(10): 28-33.

    Tools

    Get Citation

    Copy Citation Text

    LIU Peijin, ZHANG Xiangrui, WEI Ping. EnFCM Clustering Segmentation Method for Infrared Image of Electrical Equipments Based on Fusion Reconstruction[J]. Infrared Technology, 2024, 46(3): 295

    Download Citation

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

    Category:

    Received: Dec. 29, 2022

    Accepted: --

    Published Online: Sep. 2, 2024

    The Author Email: Xiangrui ZHANG (1078741460@qq.com)

    DOI:

    CSTR:32186.14.

    Topics