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基于双目立体视觉技术的桥梁裂缝测量系统
引用本文:王琳,赵健康,夏轩,龙海辉. 基于双目立体视觉技术的桥梁裂缝测量系统[J]. 计算机应用, 2015, 35(3): 901-904. DOI: 10.11772/j.issn.1001-9081.2015.03.901
作者姓名:王琳  赵健康  夏轩  龙海辉
作者单位:上海交通大学 仪器科学与工程系, 上海 200240
基金项目:国家863计划项目(2012AA121602)
摘    要:针对国内外桥梁裂缝测量效率低、成本高、精度低等现状,提出了一种基于双目立体视觉技术的桥梁裂缝测量系统。采用相机标定、图像匹配、三维坐标计算等双目立体视觉技术对桥梁裂缝的宽度和长度进行计算,实现了桥梁裂缝测量系统。实验通过与单目摄像机用图像处理方法计算的桥梁尺寸结果作对比,表明:对于同一条裂缝的宽度与长度,用所提方法在不同拍摄角度下计算结果差别不大,并且与真实值的相对误差分别保持在10%和1%以内,而同一条件下单目测量系统的计算结果则随着拍摄角度的变化相差很大,宽度测量误差最大达到了19.41%,长度测量误差最大达到了54.35%。说明基于双目立体视觉技术的桥梁裂缝测量系统可以应用于实际中,并且鲁棒性更强,测量结果更精确。

关 键 词:双目视觉  桥梁  裂缝测量  图像匹配  相机标定  
收稿时间:2014-10-21
修稿时间:2014-11-25

Bridge crack measurement system based on binocular stereo vision technology
WANG Lin , ZHAO Jiankang , XIA Xuan , LONG Haihui. Bridge crack measurement system based on binocular stereo vision technology[J]. Journal of Computer Applications, 2015, 35(3): 901-904. DOI: 10.11772/j.issn.1001-9081.2015.03.901
Authors:WANG Lin    ZHAO Jiankang    XIA Xuan    LONG Haihui
Affiliation:Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:A bridge crack measurement system based on binocular stereo vision technology was proposed considering the low efficiency, high cost and low precision of bridge cracks measurement at home and abroad. The system realized by using some binocular stereo vision methods like camera calibration, image matching and three dimensional coordinates reconstruction to calculate the width and the length of bridge cracks. The measured results by binocular vision and by monocular vision system under the same conditions were compared, which show that using the binocular vision measurement system made width relative error keep within 10% and length relative error keep within 1% steadily, while the results measured by monocular vision were changed widely in different angles with a maximum width relative error 19.41% and a maximum length relative error 54.35%. The bridge crack measurement system based on binocular stereo vision can be used in practical well with stronger robustness and higher precision.
Keywords:binocular vision  bridge  crack detection  image matching  camera calibration
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