中国激光, 2014, 41 (9): 0902007, 网络出版: 2014-07-22   

基于激光光散射层貌术的蓝宝石内部缺陷检测系统

A Detecting System of Sapphire Internal Defects Based on Laser Light Scattering Tomography
作者单位
1 中国科学院上海光学精密机械研究所, 上海 201800
2 国家纳米科学中心, 北京 100190
摘要
蓝宝石是制作发光二极管(LED)衬底的基本材料,其质量直接影响高亮度LED衬底的晶片制造成品率,对于棒状蓝宝石晶体内部缺陷的检测定位能极大地降低生产成本,提高成品率。针对蓝宝石衬底加工要求,在机器视觉技术的基础上,利用LabVIEW及NI公司的图像采集卡和数据采集卡搭建了一个基于激光光散射层貌术的蓝宝石内部缺陷检测定位系统。系统利用高强度的线状激光照射下缺陷产生的光散射效应对蓝宝石晶体进行逐层扫描和图像采集,运用图像增强、图像分割及图像提取等图像处理手段对采集到的图像进行缺陷提取和分析,实现了对蓝宝石内部缺陷的检测和定位,具有很高的实时性和可视化效果。实验结果表明,该系统能有效地识别出蓝宝石晶体中的散射颗粒缺陷,并对其在棒状蓝宝石晶体深度方向上准确定位。
Abstract
As the basic material of light emitting diode (LED) substrate, the quality of sapphire directly affects the production yield of high-brightness LED substrate chips. The detection and positioning of internal defects in sapphire crystal bar can greatly reduce the production cost and improve the yield. Based on machine vision technique, an internal defect detection and positioning system are bulit for sapphire on the basis of laser light scattering tomography taking the processing requirements on sapphire substrate into consideration. LabVIEW and image acquisition card and data acquisition card from NI Company are adopted in this system. The detection and positioning of internal defects in sapphire crystal is realized by scanning the sapphire crystal layer by layer through the light scattering effect generated by the irradiation of high-intensity linear laser on defects. A lot of image processing methods such as image enhancement, image segmentation and image extraction are adopted to extract and analyze the defects, enhancing the real-time performance and visuality of this system. The experimental results show that this system can identify the scattering particle defects in sapphire crystal effectively, and position them in depth direction accurately.
参考文献

[1] Chen Quan, Luo Xiaobing, Zhou Shengjun, et al.. Dynamic junction temperature measurement for high power light emitting diodes[J]. Review of Scientific Instruments, 2011, 82(8): 084904.

[2] Daniel A Steigerwald, Jerome C Bhat, Dave Collins, et al.. Illumination with solid state lighting technology[J]. IEEE J Sel Top Quantum Electron, 2002, 8(2): 310-320.

[3] 罗毅, 张贤鹏, 王霖, 等. 半导体照明中的非成像光学及其应用[J]. 中国激光, 2008, 35(7): 963-971.

    Luo Yi, Zhang Xianpeng, Wang Lin, et al.. Non-imaging optics and its application in solid state lighting[J]. Chinese J Lasers, 2008, 35(7): 963-971.

[4] 李林, 王光珍, 王丽莉, 等. 实现均匀照明的LED系统设计方法[J]. 光学学报, 2012, 32(2): 0222002.

    Li Lin, Wang Guangzhen, Wang Lili, et al.. Lens design for uniform illumination with LED[J]. Acta Optica Sinica, 2012, 32(2): 0222002.

[5] 范红忠, 曹民, 李抒智, 等. 光源近场测量在LED光学设计中的应用与研究[J]. 光学学报, 2012, 32(12): 1222001.

    Fan Hongzhong, Cao Min, Li Shuzhi, et al.. Application and investigation of near-field goniophotometer measurements in LED optical design[J]. Acta Optica Sinica, 2012, 32(12): 1222001.

[6] 卢清华, 许重川, 王华, 等. 基于机器视觉的大幅面陶瓷地砖尺寸测量研究[J]. 光学学报, 2013, 33(3): 0312004.

    Lu Qinghua, Xu Chongchuan, Wang Hua, et al.. Research on dimension measurement of large size ceramic floor tiles based on machine vision[J]. Acta Optica Sinica, 2013, 33(3): 0312004.

[7] S Joayuim, J F Manuel, S Cristina, et al.. Computer vision techniques applied to the quality control of ceramic plates[C]. IEEE International Conference on Industrial Technology, 2009. 1-6.

[8] N Nango, T Ogawa, T Irisawa. Minimum size of oxygen precipitates in czochralski silicon wafers detected by improved light scattering tomography[J]. Japanese Journal of Applied Physics, 2005, 44(8): 5898-5902.

[9] 邓珮珍, 乔景文, 钱振英. 用激光光散射层貌术研究NdYAG晶体中的缺陷[J]. 硅酸盐学报, 1987, 15(2): 168-174.

    Deng Peizhen, Qiao Jingwen, Qian Zhenying. Study of defects in NdYAG crystals by laser light scattering tomography[J]. Journal of The Chinese Ceramic Society, 1987, 15(2): 168-174.

[10] 黄见, 胡顺星, 曹开法, 等. 基于LabVIEW的测污激光雷达三维扫描控制系统的设计[J]. 大气与环境光学学报, 2013, 8(2): 124-129.

    Huang Jian, Hu Shunxing, Cao Kaifa, et al.. Design of three dimensional scanning control system for air pollution monitoring lidar based on LabVIEW[J]. Journal of Atmospheric and Environmental Optics, 2013, 8(2): 124-129.

[11] 张捍东, 纪文志. 数据采集系统中的LabVIEW数据库访问技术[J]. 工业仪表与自动化装置, 2009, (4): 63-66.

    Zhang Handong, Ji Wenzhi. The database access technology based on LabVIEW in data acquisition system[J]. Industrial Instrumentation & Automation, 2009, (4): 63-66.

[12] 张立保, 李浩. 基于自适应半径搜索的图像感兴趣区域检测[J]. 中国激光, 2013, 40(7): 0714001.

    Zhang Libao, Li Hao. Detection of interest image region based on adaptive radius search[J]. Chinese J Lasers, 2013, 40(7): 0714001.

[13] 章毓晋. 图像分析[M]. 北京: 清华大学出版社, 2005. 162-165.

    Zhang Yujin. Image Analysis[M]. Beijing: Tsinghua University Press, 2005. 162-165.

刘洋, 徐文东, 赵成强, 胡永璐, 刘涛, 王闯. 基于激光光散射层貌术的蓝宝石内部缺陷检测系统[J]. 中国激光, 2014, 41(9): 0902007. Liu Yang, Xu Wendong, Zhao Chengqiang, Hu Yonglu, Liu Tao, Wang Chuang. A Detecting System of Sapphire Internal Defects Based on Laser Light Scattering Tomography[J]. Chinese Journal of Lasers, 2014, 41(9): 0902007.

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