Yuan Wei-qi, Bi Tian-yu. Illuminating source design of online visual inspection system for glass defects[J]. Journal of Applied Optics, 2015, 36(3): 369-375. DOI: 10.5768/JAO201536.0301006
Citation: Yuan Wei-qi, Bi Tian-yu. Illuminating source design of online visual inspection system for glass defects[J]. Journal of Applied Optics, 2015, 36(3): 369-375. DOI: 10.5768/JAO201536.0301006

Illuminating source design of online visual inspection system for glass defects

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  • A method for automatic glass inspection on the production chain based on visual system was adopted. The method of illuminating is crucial to image in acquisition process,in order to avoid the illuminating jamming for judgment to guarantee the accurate identification result of different cracks by machine visual system, we carried out the research on the illuminating source system,including the luminous intensity,the wavelength and the position relative to line scan camera and glass which is on the production chain. We proposed a novel method of illuminating to achieve high quality image to solve problems caused by the influence of illuminating,with the analysis of influence between the defective part and the normal part when illuminating source system operates. It is proved that the method can realize realtime detecting to achieve accurate and reliable results,through a batch of glass samples tests. From the detection of glass image scanned under the condition provided by illuminating source system,the visual system can compute the defect and present the position size and depth,if the glass is not the acceptable product.
  • [1]Jin Jianguang,Wei Ping.An algorithm of glass defection on-line detection system[J].Optical Technique,2006,32(S1):23-25.
    金剑光,魏平.一种适用于玻璃生产线的瑕疵检测算法[J]. 光学技术,2006,32(S1):23-25.
    [2]Peng Xiangqian,Chen Youping,Xie Jingming,et al. Research on online defect inspection and recognition for float glass fabrication[J].Glass&Enamel,2010(1):1-6.
    彭向前,陈幼平,谢经明,等.浮法玻璃缺陷在线检测识别方法研究[J]. 玻璃与搪瓷,2010(1):1-6.
    [3]Bao Yiwang,Zhou Huabin,Qiu Yan,et al.Experimental research on glass defect inspection technology based on photoelasticity[J].Glass and Door Window Curtain,2010(S2):147-150.
    包亦望,周华斌,邱岩,等. 基于光弹法的玻璃缺陷检测技术的实验研究[J]. 中国建材科技,2010(S2):147-150.
    [4]Wang Fei.Study on the quality of glass on-line detection system based on machine vision[D].Zhengzhou:Henan University of Science&Technology,2010.
    王飞. 基于机器视觉的玻璃质量在线检测系统研究[D].郑州:河南科技大学,2010.  
    [5]Zhou Xin,Deng Wenyi,Liu Lishuang.Research on fast detection and classification of glass defect[J]. Micro Computer Information,2008,27:304-305.
    周欣,邓文怡,刘力双. 玻璃缺陷快速检测分类研究[J]. 微计算机信息,2008,27:304-305.
    [6]Adamo F,Attivissimo F,Nisio A D,et al. A low-cost inspection system for online defects assessment in satin glass[J]. Measurement, 2009,42(9):1304-1311.
    [7]Yu Fashan,Tian Xifang,Han Chaochao,et al. Research on on-line defect detection technology for glass production[J]. Journal of Henan Polytechnic University:Natural Science,2013(4):476-480.
    余发山,田西方,韩超超,等. 玻璃生产缺陷在线检测技术研究[J]. 河南理工大学学报:自然科学版,2013(4):476-480.
    [8]Wei Tao,Wang Zhaoba,Jin Yong,et al. Study on glass defect inspection technology based on image reconstruction[J]. Control and Instrument in Chemical Industry,2010(6):58-61.
    魏涛,王召巴,金永,等. 基于图像重构的玻璃缺陷检测技术研究[J]. 化工自动化及仪表,2010(6):58-61.
    [9]Yi Qiaomu,Cheng Jinshu,Zhou Yang,et al. Machine-vision based online quality detection system for glass production[J]. Journal of Wuhan University of Technology,2007(5):23-26.
    易乔木,程金树,周洋,等. 一种基于机器视觉的玻璃质量在线检测系统[J]. 武汉理工大学学报,2007(5):23-26.
    [10]Xiong Guangjie,Ma Shuyuan,Nie Xueyuan,et al. Defects inspection system of HID PCB based on machine vision[J].Computer Measurement&Control,2011(8):1824-1826.
    熊光洁,马树元,聂学俊,等. 基于机器视觉的高密度电路板缺陷检测系统[J]. 计算机测量与控制,2011(8):1824-1826.
    [11]Liu Huaiguang,Chen Youping,Xie Jingming,et al.Research on line recognition technology for float glass defects[J].Journal of Chinese Computer Systems,2011(4):738-742.
    刘怀广,陈幼平,谢经明,等. 浮法玻璃缺陷在线识别技术的研究[J]. 小型微型计算机系统,2011(4):738-742.
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