首页|Automatic detection of asphalt pavement thickness: A method combining GPR images and improved Canny algorithm
Automatic detection of asphalt pavement thickness: A method combining GPR images and improved Canny algorithm
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NSTL
Elsevier
? 2022 Elsevier LtdThe traditional drill core sampling method used for pavement thickness detection is increasingly difficult to meet the increasing demand for pavement detection. At the same time, ground penetrating radar (GPR) have shown superiority in pavement non-destructive detection for its fast detection, safety and high efficiency. In this study, the traditional Canny algorithm was improved by combining wavelet denoising, intercept method and artificial bee colony algorithm, and the improved Canny algorithm was compared with the traditional Canny algorithm and connected region detection algorithm by combining simulated images and actual images. The detection results showed that the improved Canny algorithm had better performance, and the relative error was about 3.82%, which can realize the fast and intelligent detection of asphalt pavement thickness.
Digital Image ProcessingGprMaxGround Penetrating RadarImproved Canny AlgorithmNon-destructive DetectingPavement Thickness
Wu W.、Wang L.、Gu X.、Liu Z.、Wang D.
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Highway and Transportation Management Center
Department of Roadway Engineering School of Transportation Southeast University
NSTL
Elsevier
