Patrol video image preprocessing method

A technology for video image and preprocessing, which is applied in the field of image processing to achieve the effect of good extraction effect, convenient processing and improved image quality
CN114881869APending Publication Date: 2022-08-09天津三源电力信息技术股份有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
天津三源电力信息技术股份有限公司
Publication Date
2022-08-09

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Abstract

The invention provides an inspection video image preprocessing method, which comprises the following steps of: acquiring images of target objects, identifying and classifying the images of the target objects, and performing feature identification processing on different types of images by adopting a target modeling feature identification method aiming at different types of target objects. According to the invention, an advanced artificial intelligence technology concept and image intelligent analysis are introduced, and a video image recognition algorithm based on a video image intelligent analysis technology framework, a deep neural network and a traditional image processing technology is adopted, so that the capability of a video image intelligent recognition technology based on artificial intelligence is greatly improved; the method realizes common fault defect and risk identification of video images, is applied to typical scenes such as power grid equipment, and provides powerful information technology support for guaranteeing the stability of a power grid and improving the safety production level of the power grid.
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Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to a preprocessing method for inspection video images. Background technique

[0002] The function of video image preprocessing is to improve the video image quality. However, due to factors such as cost and environment, the quality of the original video obtained by the video surveillance system is not high, or even very low. For example, due to the influence of environment, noise, lighting, motion, etc., the collected images often appear blurred, distorted, noisy, too bright or too dark, and the colors are not vivid. For such poor video, after compression, transmission, decoding and display, the surveillance video seen is often unsatisfactory, and it is impossible to further mine the video image information. How to improve the quality of the collected and processed inspection video images under the existing conditions is the key. In this regard, preprocessing the collect...

Claims

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