Power line recognition method based on Hough and YOLO fusion

Abstract

Aiming at the problem of power line target recognition in the process of power patrol inspection, this paper proposes a power line detection method that combines Hough and YOLO, as common detection algorithms often cannot accurately identify and determine the location of targets such as power lines and towers. Acquire image edge features through edge detection, and extract line features in the image using Houhg detection. After determining the line features to be selected, use the YOLO algorithm as a convolutional neural network framework to identify power lines and tower targets based on the migration learning process. Fusion of the target identification frame and the selected line is performed, mainly through rules such as intersection and slope judgment processes to eliminate interfering line segments, Finally, determine the exact location of the power line. After testing, the fusion method can well solve the problem of image line detection and location determination.