基于X射线数字成像系统的缆索检测

基金项目:

国家自然科学基金资助项目(50907032)

江苏省科技厅资助项目(BE2009162, BZ2009051)

博士点基金资助项目(20093218120019)

详细信息

Cable Detection Based on X-Ray Digital Imaging System

摘要: 大桥缆索的包覆层较厚, 应用超声和漏磁方法在线检测其腐蚀和断丝时, 难以克服检测效率低和提离效应的影响。针对该局限性, 基于X射线数字成像技术, 利用X射线数字探伤仪沿缆索周向等分采集多幅图像。用MATLAB语言编程处理试验图像, 研究了缆索图像的预处理技术, 得到了腐蚀缺陷的识别、提取、腐蚀面积计算的方法, 确定了缺陷的大小和位置。
- X射线 /
- 缆索 /
- 图像处理 /
- 缺陷检测
Abstract: The coating of the bridge cable is a bit thick. It is difficult to overcome the shortcomings of low efficiency and lift-off effect while applying the methods of ultrasound and magnetic flux leakage to detect the corrosion and fracture on line. Aimed to overcome the limitation of the present technology, a detection method based on X-ray digital imaging technology was put forward. It made use of X-ray digital detector to acquire images along the cable. By programming with MATLAB software, the algorithms of X-ray image pre-processing were studied. It calculated the size and location of the defect by the methods of identification, extraction and area size of corrosion defect.
- X-ray /
- Cable /
- Image processing /
- Defect detection

[1]	阮炜, 郑明山.X射线检测钢丝绳成像系统设计[J].自动化技术与应用, 2005, 24(12): 62-64.
[2]	张燕超, 徐桂云.基于X射线数字成像技术的钢丝绳检测系统[J].无损探伤, 2007(1): 23-24.
[3]	王华.X射线数字成像系统及其应用[J].计测技术, 2005, 25(6): 5-8.
[4]	刘俊敏, 王世耕.工业X射线检测图像处理关键技术研究[D].重庆: 重庆大学, 2006.
[5]	段悦, 袁昌明.火灾探测中动态火焰的数字图像处理[J].中国计量学院学报, 2009(1): 55-58.
[6]	韩焱.射线数字成像检测技术[J].无损检测, 2003, 25(9): 468-471.