Crack detection of reinforced concrete bridge using video image
来源期刊：中南大学学报(英文版)2013年第9期
论文作者：XU Xue-jun(许薛军) ZHANG Xiao-ning(张肖宁)
文章页码：2605 - 2613
Key words：concrete bridge; crack detection; computer vision; image processing
Abstract: 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.
XU Xue-jun(许薛军)1, 2, ZHANG Xiao-ning(张肖宁)1
(1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China;
2. Administration Bureau for Highway of Guangdong Province, Guangzhou 510075,China)
Abstract: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.
Key words:concrete bridge; crack detection; computer vision; image processing
