摘要
基于机器视觉的桥梁检测技术相对传统检测技术具有自动化程度高、检测效率好、检测成本低、不影响交通以及高耸构件检测便捷等优点。文中分析了采用机器视觉进行桥梁检测的研究应用现状;梳理了进行图像采集、病害自动识别以及裂缝测量的技术手段与方法,并分析了每种手段与方法的优缺点与适用范围。最后提出了该技术的发展方向:重点发展高效的图像获取手段与细微裂缝的自动识别算法。
Compared with the traditional detection techniques, the bridge detection technology based on machine vision has many advantages： low cost, a high degree of automation, good detection efficiency,and it does not affect transportation either, while it is convenient in the detection of high component etc.ln this paper, its research application status are summarized, the technologies and methods of image acquisition, diseases automatic identification and crack measurement are aslo cardinged, then the advantages and disadvantages and the application scope of each are analyzed.The development direction of this technology is put forward in the end： developing efficient means of image acquisition and automatic recognition algorithm of tiny cracks are the key points.
出处
《现代交通技术》
2015年第6期25-31,共7页
Modern Transportation Technology
关键词
桥梁检测
机器视觉
图像处理
自动识别
裂缝
bridge detection
machine vision
image processing
automatic identification
crack
