Improvement Canny Edge Detection for the UAV Icing Monitoring of Transmission Line Icing

Abstract

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.