Electric tower defect detection method and system based on Yolo V5
The invention discloses a Yolo V5-based electric tower defect detection method and system. The method comprises the following steps: acquiring a line inspection image; performing Otsu segmentation on the line inspection image to obtain an adaptive threshold T; converting the line inspection image fr...
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Main Authors | , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
24.06.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a Yolo V5-based electric tower defect detection method and system. The method comprises the following steps: acquiring a line inspection image; performing Otsu segmentation on the line inspection image to obtain an adaptive threshold T; converting the line inspection image from RGB to HSL; adjusting the brightness of the L channel based on an adaptive threshold T; converting the line inspection image after brightness adjustment from HSL to RGB to complete image adjustment; and inputting the line inspection image after image adjustment into the trained Yolo v5 algorithm model, and carrying out a detection task. Brightness adjustment is carried out based on an adaptive threshold T, namely, when the brightness is smaller than T, a backlight area is represented, and the minimum channel value is increased; when the brightness is greater than T, representing a non-backlight area, and reducing the maximum channel value; after brightness adjustment, image enhancement is carried out, and a subs |
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Bibliography: | Application Number: CN202210324565 |