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基于图像处理的钢坯侧面形状检测系统
引用本文:何平安,张明建,郭定一,万来毅,龚辉,林介帮.基于图像处理的钢坯侧面形状检测系统[J].应用光学,2012,33(1):108-114.
作者姓名:何平安  张明建  郭定一  万来毅  龚辉  林介帮
作者单位:1.武汉大学光电信息工程系,湖北武汉430079;
摘    要:基于机器视觉的钢坯侧面形状检测系统是由面阵CCD、激光发射器、激光接收器以及工控计算机等组成。通过面阵CCD拍摄到钢坯侧面图像,经过工业控制计算机进行数字图像处理分析和计算,提取钢坯侧面边缘高度和厚度,进而通过专用软件分析出钢坯头部和尾部的形状信息,从而有效地对入口钢坯翘头扣尾的异常状态发出报警信号。将异常信号传送给外围控制系统,以实现对钢坯的控制。

关 键 词:机器视觉    翘曲检测    边缘定位    亚像素    面阵CCD
收稿时间:2010/11/8

Automatic side shape measurement system for steel billet based on machine vision
HE Ping-an , ZHANG Ming-jian , GUO Ding-yi , WAN Lai-yi , GONG Hui , LIN Jie-bang.Automatic side shape measurement system for steel billet based on machine vision[J].Journal of Applied Optics,2012,33(1):108-114.
Authors:HE Ping-an  ZHANG Ming-jian  GUO Ding-yi  WAN Lai-yi  GONG Hui  LIN Jie-bang
Institution:1.Optical Engineering of Wuhan University,Wuhan430079,China;2.Wuhan Iron and Steel (Group) Company,Wuhan430080,China
Abstract:The measurement system based on machine vision is composed of an array CCD, a laser transmitter, a laser receiver and an industrial computer. An array CCD is used to grab the images of side shape of steel billet. After digital images are processed, the height and thickness of the side edge of steel billet are calculated and analyzed by special software. In order to implement the control of the steel billet, abnormal images are saved and sent to external control system.
Keywords:machine vision  wrapping detection  edge detection  sub-pixel  array CCD
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