Automatic diagnosis system of transmission line abnormalities and defects based on UAV

The abnormalities and detects of transmission line based on UAV is an important part of transmission line detection. In order to improve the efficiency of detection, the detection system is introduced. Firstly, the method of histogram specification is proposed to eliminate the influence of flog weather. And image stitching is used to get the whole tower. Secondly, with the help of Gestalt perceptual algorithm, the tower, insulator and transmission lines can be detected efficiently and the defection of those parts would be detected based on parts' features. Lastly, the report presents automatically after detection process. The experimental results show the system is able to powerful to implement the items of transmission line diagnosis and tremendously improve the efficiency.