大气与环境光学学报, 2020, 15 (4): 314, 网络出版: 2020-11-04  

基于机器视觉的高速线材椭圆度测量系统的设计

Design of Ovality Measurement System of High Speed Wire Rod Based on Machine Vision
作者单位
1 安徽大学物理与材料科学学院, 安徽 合肥 230601
2 合肥师范学院物理与材料工程学院, 安徽 合肥 230601
3 马钢 (集团) 控股有限公司, 安徽 马鞍山 243003
摘要
设计了一种在实验室环境下模拟工业现场高速线材椭圆度监测系统, 利用三相机测量的方式, 实现了线材椭圆度的非接触式测量。首先选取双侧远心镜头、准直光源、高速面阵 CCD 工业相机对线材实时图像进行采集, 并对相机进行标定与畸变矫正; 随后对三路相机采集到的实时图像依次预处理, 提出了一种自适应 Ψ 值运动模糊图像恢复方法; 最后通过霍夫变换检测到的两条直线上点分别计算出三路相机测得的线材直径, 并利用直径计算出线材椭圆度。研究结果表明, 在实验室条件下该系统的测量精度达到了实际工业生产中所需的精度, 有望在高线生产线上投入使用。
Abstract
A non-contact measurement system of wire ellipticity, where three cameras are used, is designed in the laboratory environment, which can be used to simulate the high-speed wire ellipticity monitoring in the industrial field. First, the real-time images of wire rod are collected by using bilateral telecentric lens, collimating light source and high-speed area array CCD industrial camera, and the camera is calibrated and distortion-corrected . Then the real-time images collected by the three cameras are preprocessed in turn, and a method of adaptive Ψ-value motion blur image restoration is proposed. Finally, the wire diameter measured by three cameras is calculated by the points on two lines detected by Hough transform, and then the wire ellipticity is calculated by using the diameter. The results show that the measurement accuracy of the system under the laboratory conditions can meet the accuracy required in the actual industrial production , andit is expected to be put into use in the high-speed wire production line.

孔伟, 刘纯红, 吴海滨, 陈新兵, 葛军成, 高宗保, 陈鸿旭. 基于机器视觉的高速线材椭圆度测量系统的设计[J]. 大气与环境光学学报, 2020, 15(4): 314. KONG Wei, LIU Chunhong, WU Haibin, CHEN Xinbing, GE Junchen, GAO Zongbao, Chen Hongxu. Design of Ovality Measurement System of High Speed Wire Rod Based on Machine Vision[J]. Journal of Atmospheric and Environmental Optics, 2020, 15(4): 314.

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