起重运输机械Issue(24)：13-20,8.
起重机轨道测量激光光斑中心识别与定位算法
摘要
Abstract
In the track measuring device,the accuracy and speed of laser spot center detection algorithm will directly affect the track measurement value.Traditional center algorithms such as gray centroid method and Hough transform have shortcomings in detection accuracy or speed.In this paper,an algorithm of spot center location based on Gaussian integral curve fitting is proposed.On the basis of image preprocessing of spot noise reduction and feature enhancement,the pixel-level edge points of the spot were obtained by interpolation fitting,edge calculation,tracking and thinning,and their normal equidistant lines and Gaussian integral fitting points were calculated,and their corresponding gray values were fitted by Bessel surface,and then sub-pixel edge points were obtained by Gaussian integral curve fitting,and the circular fitting method was adopted for these sub-pixel edge points final determination of the spot center.Compared with gray centroid method and Hough transform ellipse center method,this algorithm has higher fitting accuracy and better anti-interference,which can meet the accuracy requirements of track measurement in laboratory environment.关键词
起重机/轨道测量/图像边缘追踪/光斑中心识别与定位/算法Key words
crane/track measurement/image edge tracking/spot center identification and location/algorithm分类
机械制造引用本文复制引用
许海翔,任立新,吴峰崎,刘华..起重机轨道测量激光光斑中心识别与定位算法[J].起重运输机械,2023,(24):13-20,8.基金项目
上海市市场监督管理局计划科研项目"起重机轨道偏差检测关键技术研究"(2022-35)、"基于视觉与位姿融合的动态测量系统关键技术研究"(2022-31)、"岸边集装箱起重机载荷谱的统计分布特性研究"(2022-34)资助 （2022-35）
