摘要
针对国内对拉索表面保护材料层的两种检测方法的不足,搭建以嵌入式DSP为核心处理器,结合CCD、视频解码芯片、SDRAM、FLASH ROM等外围资源的采集和检测系统,提出了一套快速识别拉索表面缺陷的检测识别算法,包括:确定图像区域,改进中值滤波,SOBEL边缘检测和动态阈值分割,形态学闭合运算,缺陷面积计算和存储。实验结果表明该方法实现了桥梁拉索表面缺陷的实时、非接触的智能化检测,并给出了该系统所能达到的指标。该系统结构简单、成本较低、操作简便、具有重要价值。
The damage of bridge cable directly hazards the normal use of bridge and the safety of people. The paper discussed the signal acquisition and detection system which takes embedded DSP processor as core technology, combined with CCD, video decode chip, SDRAM, FLASH ROM, and established the fast measuring algorithm of the surface corrosion and damage, which includes deteminating the processing region, improving medium filter, sobel edge detection and dynamic threshold segment, close operation of morphology, computing defect area and saving. The experimental resuits show that this method implemented the real-time, non-contact and intelligence detecting of cable surface defect and gives the specifications of the system.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第9期36-38,共3页
Journal of Chongqing University
作者简介
高潮（1959-），男，重庆大学教授，博士生导师，主要从事测控技术及仪器研究，（Tel）023-65103152；（E-mail）ycguo@cqu．edu．cn。
