基于无人机图像的输电线检测方法

在无人机应用于输电线巡检背景下，为了方便后续的输电线故障检测与分析，提出一种新的基于无人机图像的输电线检测方法.首先，通过Otsu获取高低阈值的方法改进Canny边缘检测算法，用于提取输电线图像边缘；然后，通过数学形态学方法处理边缘检测得到的二值图像，并用分式查表法改进的Hough变换对数学形态学处理后的图像进行直线段检测；最后，提出线-线空间信息分析的方法，对检测出来的直线段进行筛选和拟合.通过在无人机图像上的实验结果表明，本文提出的输电线检测方法是一种性能良好的基于无人机图像的输电线检测方法.

Power Line Detection Method Based on UAV Image

In the background of the application of UAV to the power line inspection, a new power line detection method based on UAV image is proposed in order to convenient analyzing the power line. First, an adaptive threshold Canny edge detection method based on Otsu is proposed, which is used to detect the edge of the power line. Then, the binary images obtained by the edge detection are processed by mathematical morphology, and the line segment detection is carried out by Hough transform improved by fractional look-up table method. Finally, a method based on line to line spatial information analysis is proposed to screen and fit the line segments. The experimental results on UAV images show that the proposed power line detection method is a well performance power lines detection method, which is based on UAV images.