The existing detection methods have the problem of incomplete image calibration perspective, resulting in short extension distance. A long-distance detection method of concrete bridge surface cracks based on digital image is designed. The pixel coordinate system is established, the image brightness value is discretized, the image calibration angle is corrected, the edges on both sides of the square are extracted, the edge information is obtained by a single scale, and the long-distance high-pointing acoustic excitation model is constructed. According to the theory of subpixel edge detection, the detection range threshold of digital image is set. Experimental results: the average extension distances between the designed concrete bridge surface crack remote detection method and the other two detection methods are 62.745cm, 50.966cm and 48.960cm, indicating that the detection method integrating the characteristics of digital image technology has higher application value.
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