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.
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Foundation item: Project(51178193) supported by the National Natural Science Foundation of China; Project(2009 353-344-570) supported by the Ministry of Transport of China; Project(2010-02-051) supported by the Transportation Department of Guangdong Province, China
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Xu, Xj., Zhang, Xn. Crack detection of reinforced concrete bridge using video image. J. Cent. South Univ. 20, 2605–2613 (2013). https://doi.org/10.1007/s11771-013-1775-5
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DOI: https://doi.org/10.1007/s11771-013-1775-5