Study on Algorithms of Power Line Extraction Based on Power Line Image Feature
Wenyu Wang, Yuan-Jing LIU, Le Zhao, Xianpei Wang · 2017
Using small commercial UAV equipped with a simple visible light camera, to obtain the depth information of power line and the ground by monocular or binocular vision is the focus of research.Among them, how to use digital image processing method to extract the power line quickly, accurately, automatically is one of the core issues.This paper analyzes the Hough transform, Radon transform and LSD algorithm in terms ofthe effect of power line extraction by contrast.The problems of the three algorithms are pointed out, a kind of Power line extraction algorithm based on image feature of power line is put forward, in order to increase the accuracy rate of power line detection.Relative experiments are done to verity the effectiveness of algorithm.