Crack detection of reinforced concrete bridge using video image

被引:0
作者
许薛军 [1 ,2 ]
张肖宁 [1 ]
机构
[1] School of Civil Engineering and Transportation, South China University of Technology
[2] Administration Bureau for Highway of Guangdong Province
基金
中国国家自然科学基金;
关键词
concrete bridge; crack detection; computer vision; image processing;
D O I
暂无
中图分类号
TP391.41 []; U446 [桥梁试验观测与检定];
学科分类号
080203 ; 0814 ; 081406 ;
摘要
With the digital image technology,a crack detection method of reinforced concrete bridge was studied for the performance assessment.The effects including the image gray level,pixel rate,noise filter,and edge detection were analyzed considering cracks qualities.A computer program was developed by visual C++6.0 programming language to detect the cracks,which was tested by 15cases of bridge video images.The results indicate that the relative error is within 6%for cracks larger than 0.3 mm cracks and it is less than 10%for crack width between 0.2 mm and 0.3 mm.In addition,for the crack below 0.1 mm,the relative error is more than30%because the bridge is in safe stage and it is very difficult to detect the actual width of crack.
引用
收藏
页码:2605 / 2613
页数:9
相关论文
共 15 条
[1]   一种改进的基于Canny算子边缘检测算法 [J].
赵岩 ;
周百灵 ;
陈贺新 .
吉林大学学报(理学版), 2012, 50 (04) :740-744
[2]   三种不同边缘检测算子的分析和研究 [J].
李晓飞 .
安阳工学院学报, 2012, 11 (04) :54-56
[3]   基于改进Sobel算子的边缘检测算法的研究 [J].
何春华 ;
张雪飞 ;
胡迎春 .
光学技术, 2012, 38 (03) :323-327
[4]   一种基于Sobel算子的彩色图像边缘检测新算法 [J].
张凤晶 ;
白新伟 ;
于光 ;
蒋立华 .
长春理工大学学报(自然科学版), 2012, 35 (01) :122-124
[5]   基于图像分析技术的混凝土桥梁结构表面裂缝宽度检测 [J].
方志 ;
彭海涛 .
湖南大学学报(自然科学版), 2012, 39 (01) :7-12
[6]  
Strain field investigation of limestone specimen under uniaxial compression loads using particle image velocimetry[J]. 徐金明,程昌宏,陆海平. Journal of Central South University of Technology. 2011(05)
[7]   一种新型高斯噪声滤波算法 [J].
王小兵 ;
孙久运 .
北华大学学报(自然科学版), 2011, 12 (05) :606-609
[8]   基于Harris算法的黑白棋盘格角点检测 [J].
张裕 ;
方康玲 ;
刘永祥 .
计算机应用与软件, 2010, 27 (08) :251-254
[9]   一种新的棋盘格图像角点检测算法 [J].
刘阳成 ;
朱枫 .
中国图象图形学报, 2006, (05) :656-660
[10]  
Crack detection in beam-like structures using a wavelet-based neural network[J] . M A Nematollahi,M Farid,M R Hematiyan,A A Safavi. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering . 2012 (10)