摘要
基于图像传感器的圆心定位技术适用于多种非接触式测量系统。这类技术对测量环境的要求比较苛刻。以提高圆心定位技术的适应能力为目的,提出了针对抗干扰、边界识别和圆心拟合等测量过程关键技术环节的实用化改进方案,综合运用了时间递推滤波、深度优先搜索算法和迭代最小二乘法等方法。改进后的测量系统具有良好的稳定性和适应性,在地铁隧道形变监测项目中成功投入使用。
The circle center location technique which based on imaging sensor is applied to various non-contact measuring systems, yet the requirement of the environment measuring is very strict. To enhance the adaptability of center location technique, an improvement program is proposed which is practical in dealing with the key technologies in measuring process such as anti-jamming, edge examination, center point fitting, etc. It comprehensively uses the methods of time recursive filtering, depth first search algorithm and iterative least square method. The improved measuring system has good stability and adaptability, and has been used successfully in the monitoring system for deformation of subway tunnel.
出处
《传感器与微系统》
CSCD
北大核心
2011年第10期4-7,共4页
Transducer and Microsystem Technologies
基金
上海市科委科研计划资助项目(08201202103)
关键词
数字图像处理技术
边界识别
圆心拟合
抗干扰能力
digital image processing technology
edge recognition
circle center fitting
anti-jamming capability