Automatic extraction method for electric transmission line part of unmanned aerial vehicle polling image

Abstract

The invention discloses an automatic extraction method for an electric transmission line part of an unmanned aerial vehicle polling image. The method comprises the steps: reading polling image data, performing zooming processing and performing RGB channel data separation and histogram statistic on a color image, traversing the image, and determining the edge information of the image; performing partitioning processing on the image, extracting the characters of the image blocks, aggregating the similar characters, and obtaining characteristic blocks; combined with the inherent attribute of the electric transmission line part, performing feature analysis on the characteristic blocks, determining the categorical attributes of each characteristic block, and marking the parts on the electric transmission line. The automatic extraction method is capable of screening the image obtained by polling, and reducing the burdening of the artificial screening, and has extensive application prospect in the polling field.

Description

technical field [0001] The invention belongs to the technical field of transmission line equipment monitoring, relates to digital image processing and pattern recognition technology, and in particular to an automatic extraction method for transmission line components used in drone inspection images. Background technique [0002] With the rapid development of my country's national economy and the increasing scale of urban construction, the demand for electric energy has increased. In order to ensure reliable power supply for enterprises and residents, power companies are required to conduct regular inspection and maintenance of transmission lines, especially the auxiliary equipment of the lines, so as to ensure the stable power supply and safe operation of the entire power grid. Due to the vast territory of our country, the transmission mileage of transmission lines is large, and the geographical environment is complex (mountains, rivers, hills, etc.), the operation safety of...

AI Technical Summary

Problems solved by technology

Existing methods are for identification or image segmentation of a certain part of the transmission line. For example, the patent CN105023014 A uses the strategy of corner detection to realize the positioning of the tower. This method is suitable for the inspection image of the tower with a relatively simple background. When shooting When the background color is similar to that of the tower or the background is complex (such as buildings, etc.), it will interfere with the positioning and reduce the accuracy of positioning; the patent CN101630411 A realizes the calculation of the pixel entropy value of the inspection image by calculating the power transmission line and the background segmentation, but did not realize the automatic recognition function of specific components, and this patent mainly deals with the inspection images with the sky as the background, and is not suitable for processing the UAV inspection images with the earth as the background; the patent CN101625723 A utilizes the improved Hough transform extracts the current features in the inspection image, and combines the template fitting method to realize the positioning of the wire in the image

Due to the fact that there are many postures of the wires in practice, a large number of templates need to be manually designed in order to realize the positioning of the wires, and the workload is relatively large

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