Deformation Monitoring in Highway Slope with Square-Artificial-Marks-Based Image Processing Technology

Abstract

To be able to easily and efficiently monitor the deformation characteristics of the highway slope, the author explores slope monitoring based on image processing methods. The image characteristics of highway slope deformation are studied by setting multiple square artificial marks and using image processing technology. The captured image is processed by graying, binarization, noise removal, region segmentation mark and pixel calibration, coordinate system establishment, and artificial mark coordinate point acquisition. We can calculate the coordinate value, and horizontal direction and vertical displacement deformation value of the observed artificial mark point in the image. By comparing with the observed artificial mark point coordinate value and the horizontal and vertical displacement deformation values, the result shows that the displacement point of the artificial mark point obtained by this paper’s method is consistent with the actual deformation trajectory, and the displacement deformation monitoring accuracy is 95.38%. The absolute error value of the single horizontal and vertical displacement is small. A method for monitoring the deformation of highway slope proposed in this paper can provide new ideas for solving practical engineering problems.

Keywords

modeling and forecasting safety safety performance and analysis

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