起重机轨道测量激光光斑中心识别与定位算法
许海翔 1任立新 1吴峰崎 1刘华1
作者信息
- 1. 上海市特种设备监督检验技术研究院 上海 200062
- 折叠
摘要
在轨道测量装置中,激光光斑中心检测算法的精度和速度直接影响轨道测量效果,传统的中心算法如灰度质心法、Hough变换等在检测精度或速度上存在不足.文中提出了一种基于高斯积分曲线拟合的光斑中心定位算法,在光斑降噪、特征增强的图像预处理基础上,插值拟合光斑灰度曲面,进行边缘计算、追踪及细化,得到光斑的像素级边缘点,计算其法向等距线及高斯积分拟合点,并通过贝塞尔曲面拟合其对应灰度值,再采用高斯积分曲线拟合得到亚像素级边缘点,对亚像素边缘点进行圆拟合方法最终确定光斑中心点.与灰度质心法、Hough变换椭圆中心法相比,此算法的拟合精度较高,抗干扰性好,达到了实验室环境下轨道测量的精度要求.
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引用本文复制引用
基金项目
上海市市场监督管理局科研项目(2022-35)
&&(2022-31)
&&(2022-34)
出版年
2023
国家科技期刊平台
NSTL
万方数据