Automatic tiny crack positioning and width measurement with parallel laser line-camera system

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Chaobin Li, R. K. L. Su
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引用次数: 0

Abstract

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.
平行激光线摄像系统微裂纹自动定位与宽度测量
对微小裂缝进行量化是评估结构状况的关键。传统的非接触式测量技术往往难以准确测量微小裂纹宽度,特别是在难以接近的区域。为了解决这些挑战,本研究介绍了一种基于图像的手持式平行激光线相机(PLLC)系统,该系统旨在从多个角度和安全距离自动定位微小裂纹并测量宽度。相机坐标系统通过处理平行激光条建立,解决了非垂直摄影中典型的裂纹定位和像素尺度畸变问题。确定的像素尺度可以实现精确的宽度测量。改进的U-Net模型自动识别裂纹像素,提高了检测精度。此外,新开发的等面积算法使微小裂纹的亚像素宽度测量成为可能。综合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plc系统实现了一次定量的微小裂纹检测,大大提高了现场检测的效率和实用性。
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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