Defect detection method and device, electronic equipment and computer storage medium

Abstract

The invention provides a defect detection method and device, electronic equipment and a computer storage medium. The method comprises the following steps: obtaining a to-be-detected image of a high-speed rail overhead line system; segmenting an image of a first part of the high-speed rail overhead line system from the to-be-detected image; segmenting an image of a second part of the high-speed rail overhead line system from the image of the first part, wherein the second part is a sub-part of the first part; and performing defect classification on the first part and the second part based on the image of the first part and the image of the second part to obtain a defect classification result. According to the embodiment of the invention, defect detection is carried out on the high-speed rail overhead line system in a cascade mode, the omission ratio of defect detection of the high-speed rail overhead line system is reduced, and the detection accuracy is improved.

Description

technical field [0001] The present application relates to the technical field of computer vision, and in particular to a defect detection method, device, electronic equipment and computer storage medium. Background technique [0002] With the continuous development of high-speed rail construction, the safety and reliability requirements of the high-speed rail power supply system are gradually increasing, and the safety inspection and maintenance of the high-speed rail catenary is particularly important. The popularization of catenary suspension monitoring devices has greatly improved the efficiency of image acquisition in catenary operation and maintenance. However, in the face of massive image data, the traditional method of manual inspection for defect detection of catenary is not only time-consuming but also inefficient. It is low, and there is also the problem of high missed detection rate, which leads to low accuracy of catenary defect detection. Contents of the inven...

AI Technical Summary

Problems solved by technology

The popularization of catenary suspension monitoring devices has greatly improved the efficiency of image acquisition in catenary operation and maintenance. However, in the face of massive image data, the traditional method of manual inspection for defect detection of catenary is not only time-consuming but also inefficient. low, and there is also a problem of high missed detection rate, which leads to low accuracy of catenary defect detection

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