Crack detection of reinforced concrete bridge using video image

被引：37

作者：

Xu Xue-jun ^{[1
,2
]}

Zhang Xiao-ning ^{[1
]}

机构：

[1] S China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Guangdong, Peoples R China

[2] Adm Bur Highway Guangdong Prov, Guangzhou 510075, Guangdong, Peoples R China

来源：

JOURNAL OF CENTRAL SOUTH UNIVERSITY | 2013年 / 20卷 / 09期

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：

10.1007/s11771-013-1775-5

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

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 15 cases 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 than 30% because the bridge is in safe stage and it is very difficult to detect the actual width of crack.

引用

页码：2605 / 2613

页数：9

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