Ice Detection of Transmission Line Based on Image Fusion

Abstract

I367 order to maintain the safe and stable operation of the power system, early detection and early warning of the icing on transmission lines and avoiding the occurrence of ice-coating accidents, a method based on digital image processing is proposed to determine the icing status of transmission lines. In the process of icing detection of transmission lines, the quality of images of icing transmission lines from the natural environment is poor due to objective factors, and the present detection methods are difficult to accurately extract the boundaries from the low-quality icing images of transmission lines. In response to this problem, a method based on image fusion technology is proposed to determine the icing condition of transmission line. The transmission line is detected through image pre-processing, wavelet transform detection, morphological processing, line extraction and weighted fusion, after that, the ice thickness of transmission line is calculated by pixel comparison. The model was simulated in MATLAB and compared with the results of other existing edge detection methods, showing that the edge details obtained by this method are clearer and the ice thickness measurement is more accurate.