IMAGING-BASED VISUAL INSPECTION FOR BRIDGE CONDITION ASSESSMENT

摘要：

The traditional visual inspection method used to acquire bridge condition data is costly and time- consuming, and the bridge rating procedure is deeply affected by the subjective nature of the inspector. The paper first presented a system aiming to replace the manual inspection with an automated inspection using a digital camera and imaging processing techniques. It was developed to improve the accuracy and quality of the crack inspection of concrete structure. Then, the paper presented an imaging-based method for condition rating of surface quality of weathering steel bridge using wavelet transform (WT) and support vector machine (SVM). The effectiveness of the integrated method for crack detection and the condition ratings for corroded weathering steel bridge has been confirmed through systematic investigations on 3 images with cracks and a representative set of 530 images of corroded weathering steel.

作者: Ban-Fu Yan Xu-Dong Shao

作者单位: Institute of Bridge Engineering, College of Civil Engineering, Hunan University,Changsha 410075, P.R Institute of bridge engineering, College of Civil Engineering,Hunan University, Changsha 410075, P.R

会议类型: 国际会议

会议名称: 第二届国际结构状态评估、监测与改进会议(The Second International Conference on Structural Condition Asessment,Monitoring and Improvement)

会议地点: 长沙

会议语种:英文

页码: 1497-1504

在线出版日期: 2007-11-19（万方平台首次上网日期，不代表论文的发表时间）