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Automatic tiny crack positioning and width measurement with parallel laser line‐camera system
Computer-Aided Civil and Infrastructure Engineering ( IF 8.5 ) Pub Date : 2025-01-17 , DOI: 10.1111/mice.13420
Chaobin Li, R. K. L. Su
Computer-Aided Civil and Infrastructure Engineering ( IF 8.5 ) Pub Date : 2025-01-17 , DOI: 10.1111/mice.13420
Chaobin Li, R. K. L. Su
Quantifying tiny cracks is crucial for assessing structural conditions. Traditional non‐contact measurement technologies often struggle to accurately measure tiny crack widths, especially in hard‐to‐access areas. To address these challenges, this study introduces an image‐based, handheld parallel laser line‐camera (PLLC) system designed for automated tiny crack localization and width measurement from multiple angles and safe distances. Established by processing parallel laser strips, the camera coordinate system addresses crack positioning and pixel scale distortion challenges typical in non‐perpendicular photography. The determined pixel scale enables accurate width measurement. An improved U‐Net model automatically identifies crack pixels, enhancing detection accuracy. Additionally, the newly developed Equal Area algorithm enables the sub‐pixel width measurement of tiny cracks. Comprehensive laboratory and field testing demonstrates the system's accuracy and feasibility across various conditions. This PLLC system achieves quantitative tiny crack detection in one shot, significantly enhancing the efficiency and utility of on‐site inspections.
中文翻译:
使用平行激光线摄像系统进行自动微小裂纹定位和宽度测量
量化微小裂缝对于评估结构条件至关重要。传统的非接触式测量技术通常难以准确测量微小的裂纹宽度,尤其是在难以接近的区域。为了应对这些挑战,本研究引入了一种基于图像的手持式平行激光线相机 (PLLC) 系统,该系统设计用于从多个角度和安全距离进行自动微小裂纹定位和宽度测量。通过处理平行激光条建立的相机坐标系解决了非垂直摄影中常见的裂纹定位和像素级失真挑战。确定的像素比例可实现准确的宽度测量。改进的 U-Net 模型可自动识别裂纹像素,从而提高检测精度。此外,新开发的 Equal Area 算法能够对微小裂纹进行亚像素宽度测量。全面的实验室和现场测试证明了该系统在各种条件下的准确性和可行性。该 PLLC 系统一次性实现了定量的微小裂纹检测,显著提高了现场检测的效率和实用性。
更新日期:2025-01-17
中文翻译:
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使用平行激光线摄像系统进行自动微小裂纹定位和宽度测量
量化微小裂缝对于评估结构条件至关重要。传统的非接触式测量技术通常难以准确测量微小的裂纹宽度,尤其是在难以接近的区域。为了应对这些挑战,本研究引入了一种基于图像的手持式平行激光线相机 (PLLC) 系统,该系统设计用于从多个角度和安全距离进行自动微小裂纹定位和宽度测量。通过处理平行激光条建立的相机坐标系解决了非垂直摄影中常见的裂纹定位和像素级失真挑战。确定的像素比例可实现准确的宽度测量。改进的 U-Net 模型可自动识别裂纹像素,从而提高检测精度。此外,新开发的 Equal Area 算法能够对微小裂纹进行亚像素宽度测量。全面的实验室和现场测试证明了该系统在各种条件下的准确性和可行性。该 PLLC 系统一次性实现了定量的微小裂纹检测,显著提高了现场检测的效率和实用性。