摘要
针对钢领内表面圆度在人工接触式测量中存在主观干扰及自动化程度低等问题,提出一种基于线结构光的钢领内表面圆度测量方法。通过构建图像掩模提取钢领内表面线结构光条纹的感兴趣区域,采用基于主成分分析的改进Steger方法,通过计算条纹法线方向的二阶泰勒展开得到亚像素级条纹中心,提升算法效率。由线结构光条中心坐标相机内外参数、光平面方程及旋转轴方程重构钢领内表面三维点云数据,根据圆度评价方法建立基于点云数据的钢领内表面圆度的测量模型。实验结果表明,本文方法所测最大偏差为5.8μm,与文献中投影法所测结果相比更加精确,重复性测量标准差为0.725,且算法运行时间小于40 ms。
Objective Aiming at the background that the roundness of the inner surface of steel ring is still mainly measured manually,an automatic solution based on machine vision measurement is proposed.According to the characteristics of textile steel ring,a method of measuring the inner surface roundness of steel collar based on line structured light was proposed.The method proposed in this paper aims to solve the problems of subjective judgment interference,cumbersome operation and low degree of automation in traditional manual contact measurement.Method Firstly,the camera calibration,optical plane calibration and rotation center calibration of the measurement system were completed by the calibration plate.The point cloud data of the inner surface of the steel collar was obtained based on the calibration coefficient and the extracted optical strip center coordinates.The roundness information of the inner surface of the steel ring was obtained by constructing a virtual plane.Results Roifill function is used to fill the specified region of interest polygon in the image,and the pixel values on the polygon boundary are smoothly interpolated inwards to extract the line structure light fringe area,and then the maximum inter-class variance method is used for binary processing.The hole and edge burr of optical strip were solved by morphological closed operation(Fig.6).The principal component analysis method matrix was used to solve the covariance matrix instead of Hession to obtain the normal direction of fringes.By calculating the second-order Taylor expansion of the normal direction of fringes,the sub-pixel fringe center was obtained,and the extraction time was increased from 0.0184 s to 0.0029 s,which greatly shortened the time of the traditional algorithm(Fig.7).The three-dimensional point cloud data on the inner surface of the steel collar were reconstructed from the center of the linear structure light fringe and the internal and external parameters of the camera,the optical plane equation and the rotation axis equation(F
作者
金守峰
沈文军
肖福礼
李毅
JIN Shoufeng;SHEN Wenjun;XIAO Fui;LI Yi(College of Mechanical and Electrical Engineering,Xi′an Polytechnic University,Xi′an,Shaanxi710600,China;Xi′an Key Laboratory of Modern Intelligent Textile Equipment,Xi′an Polytechnic University,Xi′an,Shaanxi710600,China;Shaanxi Institute of Metrology Science,Xi′an,Shaanxi710100,China)
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2023年第10期164-171,共8页
Journal of Textile Research
基金
国家自然科学基金项目(52105559)
陕西省自然科学基础研究计划项目(2023-JC-YB-288)。
关键词
线结构光
钢领
圆度
条纹
点云数据
linear structured light
steel ring
roundness
stripe
point cloud data
