A method, medium, and system for enhancing infrastructure surface crack features

By combining a line structured light sensor with an inertial navigation device, pixel-level alignment of two-dimensional grayscale images and three-dimensional depth images is achieved, generating crack feature-enhanced images. This solves the problem of low crack detection accuracy in existing technologies and improves the accuracy of crack identification and the reliability of disease classification.

CN122089795BActive Publication Date: 2026-07-21LAN SHEN (BEI JING) KE JI YOU XIAN GONG SI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
LAN SHEN (BEI JING) KE JI YOU XIAN GONG SI
Filing Date
2026-02-09
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing two-dimensional and three-dimensional image crack detection technologies struggle to achieve pixel-level precise fusion under complex road surface conditions, leading to difficulties in crack feature extraction, high false negative rates, and low recognition accuracy.

Method used

By combining a line structured light sensor with an inertial navigation device, precise registration of two-dimensional grayscale images and three-dimensional depth images is achieved through six-degree-of-freedom coordinate transformation correction and sub-pixel-level phase correlation algorithm. Combined with incremental encoder synchronous triggering of scanning and shooting, crack feature enhanced images are generated, and crack area identification and disease classification are performed through multi-scale crack identification model.

Benefits of technology

It achieves pixel-level alignment between two-dimensional grayscale images and three-dimensional depth images, improving the expressiveness and recognition accuracy of crack features. It can accurately identify cracks under complex road surface conditions and provide richer information on damage characteristics.

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Abstract

The application provides an infrastructure surface crack feature enhancement method, medium and system, and belongs to the technical field of crack detection.The application obtains a corrected three-dimensional depth image by starting a line structured light sensing device and an inertial navigation device to scan an infrastructure surface, synchronously triggers a high-speed camera to collect a corresponding two-dimensional gray image by using an incremental encoder, establishes a stereo calibration model, and combines a sub-pixel level phase correlation algorithm to realize pixel level accurate alignment of the two-dimensional gray image and the three-dimensional depth image, extracts crack contour features and crack center lines, superimposes and fuses the crack contour features and the crack center lines to the three-dimensional depth image to generate a crack feature enhancement image, and inputs a multi-scale crack recognition model to recognize and classify, so that the technical problem that two-dimensional image texture features and three-dimensional depth data are difficult to realize pixel level accurate fusion, resulting in poor infrastructure surface crack feature enhancement effect, is solved.
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