Image processing method and device, computer equipment and storage medium

Abstract

The invention relates to an image processing method and device, computer equipment and a storage medium. The method comprises the following steps: a computer device obtains an original image of an electric power inspection scene collected by an unmanned aerial vehicle, judges whether the image quality of the original image meets a preset quality judgment condition, and if the image quality of the original image does not meet the quality judgment condition, sends the image to the unmanned aerial vehicle; and image optimization processing is performed on the original image based on a preset image processing algorithm to obtain a target image meeting a quality judgment condition, wherein the quality judgment condition comprises judgment of a light source irradiation state in the original image. In the embodiment of the invention, the computer equipment judges the image quality according to the light source irradiation state of the original image and optimizes the original image which does not accord with the image quality, so that the image quality of the original image is improved, the computer equipment can accurately identify the electric power inspection information based on the original image subjected to image optimization, and thus, the accuracy of power inspection fault classification is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image processing method, device, computer equipment and storage medium. Background technique [0002] In the field of electric power inspection, there are many scenes with harsh environments, and the application of UAV inspection mode is becoming more and more extensive. In the prior art, the UAV is controlled to conduct inspections in the designated scene, and the image acquisition device on the UAV is used to collect images of the target device and the target scene in the designated scene, so as to perform image recognition on the collected images based on the artificial intelligence algorithm And image classification, automatically complete the inspection and evaluation of equipment failures and environmental failures in the specified scene. [0003] However, since the image acquisition equipment on UAVs often uses more mainstream image sensors, most of ...

AI Technical Summary

Problems solved by technology

[0003] However, since the image acquisition equipment on UAVs often uses more mainstream image sensors, most of the images collected by image sensors are low-quality images, which leads to inaccurate final image recognition and image classification results.

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