基于机器视觉的隧道衬砌裂缝检测算法综述

《公路隧道养护技术规范》中明确指出隧道裂缝的调查是专项检查项目之一。目前常采用人工检测,漏检不可避免,为克服此缺点,用机器视觉的方法实现自动化检测已成为近年来该领域里国内外主要研究手段。在机器视觉研究方法的背景下,对目前国内外关于隧道混凝土衬砌裂缝检测算法的研究进行了较全面的综述,包括衬砌图像预处理、裂缝的检测、干扰的剔除、裂缝宽度的测量及误差分析4个部分,并对所采用的算法进行了优势及不足的比较,最后给出结论和未来设想。

Review of tunnel lining crack detection algorithm based on machine vision

Highway tunnel maintenance technical specifications clearly pointed out that the investigation of tunnel cracks is one of the special inspection items. At present, manual detection is often used and the missing detection is inevitable. In order to overcome this shortcoming, automatic detection with machine vision has become the main method in this field at home and abroad. In this paper, the background in machine vision methods, the present research on crack of tunnel concrete lining detection algorithms at home and abroad are reviewed. Lining image preprocessing, crack detection, interference elimination, crack width measurement and error analysis are included, while the advantages and disadvantages of different algorithms are compared. Finally, the conclusion and future vision are introduced.