轨道测量装置激光光斑中心定位  

Positioning of laser spot center of track measuring device

作　　者：许海翔[1] 李哲一[1] 吴峰崎[1] 龚文[1] 刘玉明 Xu Haixiang;Li Zheyi;Wu Fengqi;Gong Wen;Liu Yuming

机构地区：[1]上海市特种设备监督检验技术研究院,上海200062

出　　处：《起重运输机械》2021年第15期64-68,共5页Hoisting and Conveying Machinery

基　　金：上海市市场监督管理局计划科研项目“国内外电梯安全状况比对分析研究”资助(2019-34)。

摘　　要：在研制轨道激光测量装置的基础上,文中对比了激光光斑中心图像处理常用算法,提出了一种精度满足要求的光斑中心计算方法,构造了形态级联滤波器和高斯滤波器,对光斑图像进行去噪和光滑预处理。为充分利用光斑灰度光强分布特性,采用OTSU算法和最大光强确定了阈值区间,以指数函数进行非均匀阈值分割得到一系列二值光斑图像。在质心法初步确定光斑中心后,对其边缘提取图像进行Hough变换得到一系列中心点样本,然后采用K-means算法获得聚类中心,通过BP神经网络拟合的坐标函数对应关系,求出中心的实际坐标。该算法在测量小车坐标屏幕上进行了试验,其误差能够满足现场测量要求。Based on the development of orbital laser measuring device,the common algorithms used for laser spot center image processing were compared,and a spot center calculation method with satisfactory accuracy was proposed.The morphological cascade filter and Gaussian filter were built to denoise and smooth the spot image.In order to make full use of the light intensity distribution characteristics of spot grayness,OTSU algorithm and maximum light intensity were used to determine the threshold interval,and non-uniform threshold segmentation was performed by exponential function,and then a series of binary spot images were obtained.After preliminarily determining the center position of the spot by centroid method,Hough transform was carried out on the edge extracted image to obtain a series of center point samples,then the clustering center was obtained by K-means algorithm,and the actual coordinates of the center were obtained according to the coordinate function correspondence fitted by BP neural network.The algorithm was tested on the coordinate screen of measuring carriage,and results showed that its errors can meet requirements of field measurement.

关 键 词：轨道测量 轨道测量小车 光斑中心计算 

分 类 号：TN247[电子电信—物理电子学]