Recognition of the Extra Matters on Transmission Lines Based on Aerial Images

Abstract:

An extra matters recognition method was proposed to sift images with extra matters from amounts of power system images, aiming at improving the detection efficiency on the fault point in transmission line patrol for the potential extra matters danger in the transmission corridor．Firstly, the Otsu self-adaptation threshold segmentation algorithm was improved to segment the aerial images based on the mathematical morphology algorithm. Then a new filter algorithm to extract target image based on the geometrical characteristic of straight line was proposed to filter the rest of background. In addition, the transmission line edges were calculated via gradient. Then the local maxima in Hough transfer accumulator and the final line number were chosen as feature vectors to recognize extra matters. Finally, an interface was developed to verify the algorithm. The result shows that this method can sift all the images with extra matters, providing reliability for the power system.