Citation: | LIU He, ZHAO Tiancheng, LIU Junbo, QIAO Lixin, YUAN Xiaocui, XU Zhihao. New Corona Discharge Segmentation Method for Power Line Based on Ultraviolet Image[J]. Infrared Technology , 2023, 45(12): 1322-1329. |
[1] |
王胜辉. 基于紫外成像的污秽悬式绝缘子放电检测及评估[D]. 北京: 华北电力大学, 2011.
WANG Shenghui. Detection and Assessment of Contaminated Suspension Insulator Discharge Based on Ultraviolet Imaging[D]. Beijing: North China Electric Power University, 2021.
|
[2] |
张显. 基于紫外检测技术的绝缘子电晕放电特性研究[D]. 长沙: 长沙理工大学, 2016.
ZHANG Xian. Research the Characteristics of Insulator Corona Discharge based on UV Imaging Technology[D]. Changsha: Changsha University of Science & Technology, 2016.
|
[3] |
赵太飞, 李晗辰, 张港, 等. 无人机巡线的紫外放电检测研究[J]. 电子测量与仪器学报, 2020, 34(12): 36-42. https://www.cnki.com.cn/Article/CJFDTOTAL-DZIY202012005.htm
ZHAO Taifei, LI Hanchen, ZHANG Gang, et al. Ultraviolet discharge detection research for UAV patrol[J]. Journal of Electronic Measurement and Instrumentation, 2020, 34(12): 36-42. https://www.cnki.com.cn/Article/CJFDTOTAL-DZIY202012005.htm
|
[4] |
WANG S, LV F, LIU Y. Estimation of discharge magnitude of composite insulator surface corona discharge based on ultraviolet imaging method[J]. IEEE Transactions on Dielectrics & Electrical Insulation, 2014, 21(4): 1697-1704.
|
[5] |
ZHANG Z, WEI Z, ZHANG D, et al. Comparison of different characteristic parameters acquired by UV imager in detecting corona discharge[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2016, 23(3): 1597-1604. DOI: 10.1109/TDEI.2016.005499
|
[6] |
LIN Y, CHEN Y, ZHOU J, et al. Gray Standard deviation based ultraviolet image segmentation for electrical equipment[C]//Journal of Physics: Conference Series, 2019, 1169(1): 012051.
|
[7] |
艾建勇, 金立军. 基于紫外图像的接触网棒瓷绝缘子污秽状态检测[J]. 电工技术学报, 2016, 31(10): 112-118. DOI: 10.3969/j.issn.1000-6753.2016.10.013
AI Jianyong, JIN Lijun. Rod porcelain insulator filth state detection of catenary based on ultraviolet image[J]. Transactions of China Electrotechnical Society, 2016, 31(10): 112-118. DOI: 10.3969/j.issn.1000-6753.2016.10.013
|
[8] |
刘云鹏, 李泳霖, 裴少通, 等. 基于紫外成像技术的彩色光斑映射识别算法研究[J]. 华北电力大学学报: 自然科学版, 2022(4): 1-9. https://www.cnki.com.cn/Article/CJFDTOTAL-HBDL202303001.htm
LIU Yunpeng, LI Yonglin, PEI Shaotong, et al. Research on color spot mapping recognition algorithm based on ultraviolet imaging technology[J]. Journal of North China Electric Power University: Nature Science, 2022(4): 1-9. https://www.cnki.com.cn/Article/CJFDTOTAL-HBDL202303001.htm
|
[9] |
李勋, 张宏钊, 胡元潮, 等. 基于C-V模型的电晕放电紫外成像分割及特征量研究[J]. 高压电器, 2017, 53(8): 123-128. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201708021.htm
LI Xun, ZHANG Hongzhao, HU Yuanchao, et al. Ultraviolet image segmentation and characteristic quantities of corona discharge based on C-V model[J]. High Voltage Apparatus, 2017, 53(8): 123-128. https://www.cnki.com.cn/Article/CJFDTOTAL-GYDQ201708021.htm
|
[10] |
闵超波, 顾燕, 杨锋. 基于泊松分布的日盲紫外电晕检测[J]. 红外技术, 2020, 42(8): 715-721. http://hwjs.nvir.cn/article/id/hwjs202008002
MIN Chaobo, GU Yan, YANG Feng. Corona detection of solar-blind ultraviolet via Poisson distribution[J]. Infrared Technology, 2020, 42(8): 715-721. http://hwjs.nvir.cn/article/id/hwjs202008002
|
[11] |
王胜辉, 董兴浩, 王玺铭, 等. 基于改进SSD算法和紫外成像的悬式绝缘子放电严重程度评估[J]. 华北电力大学学报: 自然科学版, 2022(4): 1-10. https://www.cnki.com.cn/Article/CJFDTOTAL-HBDL202305005.htm
WANG Shenghui, DONG Xinghao, WANG Xuming et. al. Suspension insulator based on improved SSD algorithm and UV imaging discharge severity assessment[J]. Journal of North China Electric Power University(Nature Science), 2022(4): 1-10. https://www.cnki.com.cn/Article/CJFDTOTAL-HBDL202305005.htm
|
[12] |
Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]//Medical Image Computing and Computer-Assisted Intervention–MICCAI, 2015: 234-241
|
[13] |
Otsu N. A threshold selection method from gray-level Histograms[J]. IEEE Transactions on Systems Man & Cybernetics, 2007, 9(1): 62-66.
|
[14] |
Kapur J, Sahoo P K, Wong A. A new method for gray-level picture thresholding using the entropy of the histogram[J]. Computer Vision, Graphics, and Image Processing, 1985, 29(3): 273-285. DOI: 10.1016/0734-189X(85)90125-2
|
[15] |
Kittler J, Illingworth J. Minimum error thresholding[J]. Pattern Recognition, 1986, 19(1): 41-47. DOI: 10.1016/0031-3203(86)90030-0
|
[16] |
XU X, XU S, JIN L, et. al. Characteristic analysis of Otsu threshold and its applications[J]. Pattern Recognition Letters, 2011, 32(7): 956-961. DOI: 10.1016/j.patrec.2011.01.021
|
[17] |
袁小翠, 吴禄慎, 陈华伟. 基于Otsu方法的钢轨图像分割[J]. 光学精密工程, 2016, 24(7): 1772-1781. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201607028.htm
YUAN Xiaocui, WU Lushen, CHEN Huawei. Rail image segmentation based on Otsu threshold method[J]. Optics and Precision Engineering, 2006, 24(7): 1772-1781. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201607028.htm
|
[18] |
袁刚, 许志浩, 康兵, 等. 基于DeepLabv3+网络的电流互感器红外图像分割方法[J]. 红外技术, 2021, 43(11): 1127-1134. http://hwjs.nvir.cn/article/id/b9df2f53-2244-471b-b0ec-42159cfaa654
YUAN Gang, XU Zhihao, KANG Bing. Deep Labv3+ network-based infrared image segmentation method for current transformer[J]. Optics and Precision Engineering, 2021, 43(11): 1127-1134. http://hwjs.nvir.cn/article/id/b9df2f53-2244-471b-b0ec-42159cfaa654
|
[19] |
张开放, 苏华友, 窦勇. 一种基于混淆矩阵的多分类任务准确率评估新方法[J]. 计算机工程与科学, 2021, 43(11): 1910-1919. https://www.cnki.com.cn/Article/CJFDTOTAL-JSJK202111002.htm
ZHANG Kaifang, SU Huayou, DOU Yong. A new multi-classification task accuracy evaluation method based on confusion matrix[J]. Computer Engineering & Science, 2021, 43(11): 1910-1919. https://www.cnki.com.cn/Article/CJFDTOTAL-JSJK202111002.htm
|
1. |
卜婷. 电机电气故障红外图像分割方法研究. 今日制造与升级. 2024(11): 132-134 .
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