Abnormal target detection method of transmission line flaw detection robot based on X-ray image feature segmentation algorithm

In order to improve the low success rate of abnormal target detection of transmission line inspection robot, an abnormal target detection method of transmission line inspection robot based on X-ray image feature segmentation algorithm is proposed. Establish the principle structure of X-ray image feature segmentation algorithm, and analyze the X-ray image feature segmentation algorithm; Locate the search node, establish the motion matrix of the transmission line inspection robot in the target area, determine the path planning evaluation function of the transmission line inspection robot, and realize the abnormal target detection of the transmission line inspection robot. The experimental results show that this method can accurately locate the abnormal target detection area of the transmission line flaw detection robot, and ensure the complete detection of all abnormal target detection points, and the position coordinates of these detection points are completely corresponding to the initial position coordinates, which has a higher detection success rate.