TY - GEN
T1 - Improvement Canny Edge Detection for the UAV Icing Monitoring of Transmission Line Icing
AU - Nusantika, Nalini Rizkyta
AU - Hu, Xiaoguang
AU - Xiao, Jin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/1
Y1 - 2021/8/1
N2 - Overhead power line icing disaster is one of the most noteworthy problem which highly damage the safety of power grid, so it is needed for monitoring in the area. Recently, computer vision and Unmanned Aerial Vehicle (UAV) is developing rapidly, which is suitable for the monitoring of transmission lines icing. Edge detection method is the main priority for automatically measurement of monitoring system based on UAV. There are numerous edge detection methods, but Canny edge detector is considered to be more reliable than some traditional methods. In this paper, a method of improvement Canny using hybrid technique is proposed for more accurate measurements. Traditional Canny operator and improvement Canny operator are compared and analyzed in the simulation. For the comparison the result used are mean square error (MSE), root mean square error (RMSE) and peak signal to noise ratio (PSNR). The simulation results show that the improvement Canny operator using the hybrid technique better than traditional Canny.
AB - Overhead power line icing disaster is one of the most noteworthy problem which highly damage the safety of power grid, so it is needed for monitoring in the area. Recently, computer vision and Unmanned Aerial Vehicle (UAV) is developing rapidly, which is suitable for the monitoring of transmission lines icing. Edge detection method is the main priority for automatically measurement of monitoring system based on UAV. There are numerous edge detection methods, but Canny edge detector is considered to be more reliable than some traditional methods. In this paper, a method of improvement Canny using hybrid technique is proposed for more accurate measurements. Traditional Canny operator and improvement Canny operator are compared and analyzed in the simulation. For the comparison the result used are mean square error (MSE), root mean square error (RMSE) and peak signal to noise ratio (PSNR). The simulation results show that the improvement Canny operator using the hybrid technique better than traditional Canny.
KW - Canny operator
KW - edge detection
KW - hybrid technique
KW - mean square error (MSE)
KW - peak signal to noise ratio (PSNR) transmission line icing
KW - root mean square error (RMSE)
UR - https://www.scopus.com/pages/publications/85115446873
U2 - 10.1109/ICIEA51954.2021.9516053
DO - 10.1109/ICIEA51954.2021.9516053
M3 - 会议稿件
AN - SCOPUS:85115446873
T3 - Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
SP - 1838
EP - 1843
BT - Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
Y2 - 1 August 2021 through 4 August 2021
ER -