Unmanned aerial vehicle visual detection method for high-voltage line insulators

Abstract

The invention discloses an unmanned aerial vehicle visual detection method for high-voltage line insulators. The method comprises the following steps of: obtaining a high-voltage line insulator image; converting the high-voltage line insulator image from an RGB model to an HSV model; detecting a brightness component of the HSV model by adoption of a cross gradient search method, and obtaining a direction gradient and a spatial brightness similarity so as to generate a foreground image; carrying out connected domain segmentation on the foreground image by adoption of a 8-neighborhood connected domain segmentation method so as to obtain an insulator connected domain image; carrying out edge extraction on the insulation connected domain image by adoption of an LOG operator so as to obtain edge information of the image; carrying out 8-neighborhood edge classification on an image edge point by adoption of a 8-neighborhood edge tracking method; for pixel class groups obtained through the 8-neighborhood edge classification, carrying out edge linear detection on the groups, and displaying a recognized insulator profile. According to the method, complete insulator connected domain images can be obtained, so that the insulation recognition correctness is effectively improved, the operation speed is effectively improved and the calculation complexity is reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an unmanned aerial vehicle visual inspection method for high-voltage wire insulators. Background technique [0002] At present, China's power system has made a qualitative leap along with the rapid development of society, and the safe operation of the power grid is related to national development and social stability. Over the past three years, State Grid has invested and cooperated with more than 10 countries including Pakistan and Laos, and undertaken dozens of large and medium-sized power transmission and transformation projects. China's high-quality, efficient and safe power transmission projects have won the favor of more and more countries. Transmission line direction selection Sparsely populated areas sometimes pass through high mountains, Gobi deserts, etc., with long transmission distances and wide coverage areas, which bring great challenges to dai...

AI Technical Summary

Problems solved by technology

[0004] There are still many problems when the traditional Hough transform is directly used to extract the straight line in the insulator picture, such as the detection error caused by the discretization of the parameters, the false straight line is easy to be generated, and the peak detection is difficult. "Multiple" way to map the pixels in the image space to the parameter space, the computational complexity and space complexity are high, and the running speed is slow, especially for large images.

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