Power transmission line unmanned aerial vehicle inspection image quality evaluation method
A technology for image quality evaluation and power transmission lines, applied in image communication, overhead line/cable equipment, television, etc., can solve problems affecting analysis and processing work, uneven inspection image quality, image transmission damage, etc., to achieve an effective method Evaluation effect
Active Publication Date: 2021-02-12
FUZHOU UNIV
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However, due to the different levels of pilots controlling drones, different environments for shooting inspection images, and damage during image transmission, etc., the quality of the final inspection images is often uneven, which seriously affects the later analysis and processing. Work
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[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0023] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
[0024] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...
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The invention relates to a power transmission line unmanned aerial vehicle inspection image quality evaluation method, which comprises the steps of making a key component detection training data set and an image definition detection training data set, and constructing and training an inspection image key component detection model and an inspection image definition detection model at the same time;respectively inputting an image to be evaluated into the two trained models, obtaining the types and prediction box information of key components in the image through the inspection image key component detection model, and obtaining whether each image block in the image is clear or not through the inspection image definition detection model; for each obtained prediction box, calculating the proportion of clear image sub-blocks in the prediction box, and screening out the prediction box reaching the standard; for each prediction box with the definition reaching the standard, calculating two indexes including the center deviation degree and the graph proportion of the prediction box, and if the indexes reach the standard, determining that the current prediction box meets the quality requirement; and determining whether the current image is a qualified image. According to the invention, the power inspection image can be evaluated quickly and effectively.
Description
technical field [0001] The invention relates to the technical field of image quality evaluation, in particular to a method for evaluating the image quality of transmission line UAV patrol inspection. Background technique [0002] The scale of my country's transmission network is getting larger and larger. In order to ensure the safety of the power system, relevant departments need to invest a lot of manpower and material resources in inspections of transmission lines every year. Traditional manual inspections are often costly and risky. With the development of UAV technology, the advantages of UAV's small size and unrestricted geographical conditions have been widely used in power inspections, which not only improves the inspection efficiency, but also reduces the work intensity and danger of inspection personnel, making up for the The lack of manual inspection. [0003] The current UAV power inspection mainly relies on the pilot to control the UAV for image acquisition, an...
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IPC IPC(8): H04N17/00H02G1/02
CPCH02G1/02H04N17/00
Inventor 江灏金志恒刘欣宇缪希仁陈静林志成
Owner FUZHOU UNIV