一种平板玻璃缺陷在线检测系统的研究

王飞, 崔凤奎, 刘建亭, 张丰收

王飞, 崔凤奎, 刘建亭, 张丰收. 一种平板玻璃缺陷在线检测系统的研究[J]. 应用光学, 2010, 31(1): 95-99.
引用本文: 王飞, 崔凤奎, 刘建亭, 张丰收. 一种平板玻璃缺陷在线检测系统的研究[J]. 应用光学, 2010, 31(1): 95-99.
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WANG Fei, CUI Feng-kui, LIU Jian-ting, ZHANG Feng-shou. he system research for on-line defect inspection of flat glass[J]. Journal of Applied Optics, 2010, 31(1): 95-99.
Citation: WANG Fei, CUI Feng-kui, LIU Jian-ting, ZHANG Feng-shou. he system research for on-line defect inspection of flat glass[J]. Journal of Applied Optics, 2010, 31(1): 95-99.
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一种平板玻璃缺陷在线检测系统的研究

  • 河南科技大学机电工程学院,河南洛阳471003

详细信息
    通讯作者:

    王飞(1985-),男，江苏徐州人，河南科技大学机电工程学院硕士研究生，主要研究方向为图像处理与图像识别技术。

  • 中图分类号: TN209；TP242.6

he system research for on-line defect inspection of flat glass

  • School of Mechatronics Engineering,Henan University of Science and Technology,Luoyang 471003,China

摘要

    摘要
  • 摘要: 根据光干涉的原理和视觉检测方法，研究开发了基于机器视觉的玻璃缺陷检测系统。针对实际的目标图像,通过对其进行图像获取、图像预处理、图像分割、特征提取和区域参数计算研究, 从而获得玻璃表面锡点、气泡、玻筋等缺陷图像的识别信息。实验表明,该算法简单,速度快,系统抗干扰能力强。系统处理周期最大不超过400ms，能检测出最小0.3mm的缺陷。
    Abstract: Based on the principle of optical interference and vision detection technique, a machine vision based glass defect inspection system was developed. The target image was acquired, preprocessed and segmented. Its features were extracted and regional parameters were calculated. The defect information such as tin spots, air bubbles and glass ribs was obtained. The experiment indicates that the algorithm is simple, fast and reliable. The system can detect defects down to 0.3mm with maximum processing cycle less than 400ms.
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    • 参考文献(1)
  • ［1］余文勇，周祖德，陈幼平.一种浮法玻璃全面缺陷在线检测系统［J］.华中科技大学学报：自然科学版，2007，35(8)：1-4.
    YU Wen-yong, ZHOU Zu-de,CHEN You-ping. Machine vision system for on-line defect detection of float glass［J］. Huazhong Univ. of Sci. & Tech. (Nature Science Edition), 2007，35(8)：1-4.(in Chinese with an English abstract)
    ［2］PENG, XIANG QIAN,CHEN You-ping,et al.An online defects inspection method for float glass fabrication based on machine vision［J］. International Journal of Advanced Manufacturing Technology, 2008,39(12):11-12;1180-1189.
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    ［9］汪传民，叶邦彦.基于计算机视觉的轴承外径监测系统的研究［J］.微计算机信息，2006，22(5)：205-207.
    WANG Chuan-min,YE Bang-yan.Machine vision system for outer diameter inspection of bearing［J］. Microcomputer Information,2006,22(5):205-207.(in Chinese with an English abstract)
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  • 刊出日期:  2010-01-14

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