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In the power system, there is a very important role in the protection of the safe operation of the power system by using computer vision and image processing technology to detect the transmission line. For the complex background, a transmission line detecting algorithm based on the Chebyshev polynomial descriptors(CPDs) is proposed. The algorithm firstly preprocesses the input image. Secondly, the random Hough transform is used to extract the straight lines and curves in the image, which are then described by the CPDs. In order to improve the accuracy of the extraction, the K-means clustering analysis method is used to train the visual dictionary, and the transmission lines in the image are finally determined by the comparison of the visual dictionary. The experimental results show that the proposed algorithm can accurately extract the transmission lines in complex background.