基于正交双目视觉的药液杂质粒径标定

李伟; 王伯雄; 杨春毓

doi:10.3788/OPE.20132110.2603

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基于正交双目视觉的药液杂质粒径标定

微纳技术与精密机械 | 更新时间：2020-08-12

- 基于正交双目视觉的药液杂质粒径标定
- Particle size calibration of impurities in bottled liquid based on orthogonal binocular vision
- 光学精密工程 2013年21卷第10期页码：2603-2609
- 作者机构：
  
  清华大学精密仪器与机械学系精密测试技术及仪器国家重点实验室北京,100084
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132110.2603
  中图分类号： TP242.62;TH821
- 收稿日期：2013-03-27，
  
  修回日期：2013-05-27，
  
  网络出版日期：2012-10-19，
  
  纸质出版日期：2013-10-15
- 稿件说明：
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李伟王伯雄杨春毓. 基于正交双目视觉的药液杂质粒径标定[J]. 光学精密工程, 2013,21(10): 2603-2609

LI Wei WANG Bo-xiong YANG Chun-yu. Particle size calibration of impurities in bottled liquid based on orthogonal binocular vision[J]. Editorial Office of Optics and Precision Engineering, 2013,21(10): 2603-2609
李伟王伯雄杨春毓. 基于正交双目视觉的药液杂质粒径标定[J]. 光学精密工程, 2013,21(10): 2603-2609 DOI： 10.3788/OPE.20132110.2603.

LI Wei WANG Bo-xiong YANG Chun-yu. Particle size calibration of impurities in bottled liquid based on orthogonal binocular vision[J]. Editorial Office of Optics and Precision Engineering, 2013,21(10): 2603-2609 DOI： 10.3788/OPE.20132110.2603.

摘要

灯检机是利用机器视觉技术对药液中可见异物进行检测的机器。为了利用全自动灯检机获取中药液杂质粒径和其成像大小之间的精确标定曲线，提出了基于正交双目视觉的杂质粒径标定方法。首先，根据空间匹配建立杂质颗粒在正交相机图像中的对应关系，得到杂质颗粒在图像中的三维空间坐标；然后，根据杂质颗粒的坐标计算由柱形瓶装药液带来的一维放大率误差并对杂质颗粒图像进行图像几何校正，再根据杂质颗粒坐标进行杂质离焦误差系数计算，从而获得杂质颗粒图像大小的精确值。对滴加了粒径为50 m的标准颗粒的西林水剂瓶进行粒径标定，使杂质粒径测定值的离散度系数从0.11降低到了0.05。实验表明，此方法可以获得高精度的粒径标定曲线，实现灯检机对药液中杂质粒径的精确判定。

Abstract

Light inspection machine is a detecting instrument for visible impurities in liquid by machine vision technology. In order to establish a calibration curve between the particle sizes of impurities in the liquid and their image sizes in the intelligent inspection machine

a calibration method of particle sizes was proposed based on orthogonal binocular vision. First

the correspondence relationship of the impurities in the orthographic camera images was created based on the image spatial location matching and 3D spatial coordinates of the impurity particles in images were obtained. Then

according to the obtained three-dimensional coordinates of the impurity particles in liquid images

one-dimensional magnification errors of cylindrical liquid were calculated

the geometric correction of impurity particle images was completed and the defocused error coefficient was also obtained. Furthermore

the precise values of image sizes of the impurity particles were calculated. Finally

the standard particles with a diameter of 50 m in a penicillin bottle were calibrated. Calbiration results show that the dispersion coefficients of impurity particle sizes are reduced from 0.11 to 0.05. The experiments indicate that this method can get a particle size calibration curve with a high precision and can help the light inspection machine to measure the particle sizes of impurities in the liquid accurately.

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references

叶瑛瑛.药品生产验证指南[M].北京:中国医药科技出版社,1996.YE Y Y. Pharmaceutical Production Validation Guidelines [M]. Beijing: China Medical Science Press, 1996.(in Chinese)[2]贾卫东,薛飞,李成,等.荷电雾滴群撞击界面过程的 PDPA 测试[J].农业机械学报，2012,43(8):78-82.JIA W D, XUE F, LI C, et al.. Measurement of charged droplets impacting plant target interface by using PDPA [J]. Transactions of the Chinese Society for Agricultural Machinery, 2012,43(8): 78-82.(in Chinese) [3]张龙,张力虎,曹娜,等.运用激光全息术和 PDPA 测量喷射燃料粒子场[J].实验流体力学，2011,25(2): 83-87.ZHANG L, ZHANG L H, CAO N, et al.. Spray fuel particle field measurement by using laser holography and PDPA technology [J]. Journal of Experiments in Fluid Mechanics, 2011,25(2):83-87.(in Chinese) [4]徐玉明，迟卫，莫立新. PIV 测试技术及其应用[J].舰船科学技术，2007，29（3）：101-105.XU Y M, CHI W, MO L X.PIV measurement technique and its application [J]. Ship Science and Technology, 2007,29（3）：101-105.(in Chinese)[5]荣臻,陈方,刘洪,等.超声速 PIV 示踪粒子布撒技术研究[J].实验流体力学，2012,26(2): 64-67.RONG Z, CHENG F, LIU H, et al.. Research on seeding technique of PIV in supersonic flow [J]. Journal of Experiments in Fluid Mechanics,2012,26(2): 64-67.(in Chinese) [6]秦垚，王伯雄，罗秀芝.基于Zernike 正交矩的亚像素图像线宽测量算法[J].光学技术，2012，38（6）：729-733.QIN Y, WANG B X, LUO X Z. Measurement algorithm for sub-pixel line width in images based on Zernike moment [J]. Optical Technique, 2012,38（6）：729-733. (in Chinese)[7]皮运正，皮运清，叶裕才.固体颗粒在匀速旋转液体中的沉降过程[J].给水排水，2000，26（9）：52-54.PI Y Z, PI Y Q, YE Y C. Research on solid particles rotating at a constant speed in liquid in the settlement process [J].Water & Wastewater Engineering, 2000,26（9）：52-54. (in Chinese)[8]范媛媛，沈湘衡，桑英军.基于对比度敏感度的无参考图像清晰度评价[J]. 光学精密工程，2011，19（10）：2485-2493.FAN Y Y, SHEN X H, SANG Y J. No reference image sharpness assessment based on contrast sensitivity [J]. Opt. Precision Eng., 2011, 19(10): 2485-2493. (in Chinese)[9]张益昕，王顺，张旭苹.大尺度三维视觉测量中的离焦模糊图像恢复[J]. 仪器仪表学报，2010，31（12）：2748-2752.ZHANG Y X, WANG S, ZHANG X P. Defocused blur image restoration in large scale 3D vision measurement [J]. Chinese Journal of Scientific Instrument., 2010, 31(12):2748-2752. (in Chinese)[10]唐启敬,赵铁石,边辉,等.基于双目视觉的复合肥颗粒检测系统[J].农业机械学报，2012,43(7):206-211.TANG J Q, ZHAO T S, BIAN H, et al.. Compound fertilizer particle inspection system based on binocular vision [J]. Transactions of the Chinese Society for Agricultural Machinery, 2012,43(007):206-211.(in Chinese) [11]李治龙,黄成杰,吴志军,等.基于双目视觉和灰度差分法的粒径测量方法[J].吉林大学学报: 工学版，2009,39(4): 869-873.LI Z L, HUANG C J, WU Z J, et al.. Particle size measurement based on binocular vision and particle image gray difference [J]. Journal of Jilin University:Engineering and Technology Edition, 2009,39(4):869-873.(in Chinese) [12]刘力双,张铫,卢慧卿,等.图像的快速亚像素边缘检测方法[J].光电子激光，2005,16(8): 993-996.LIU L S, ZHANG T, LU H Q, et al.. A fast sub-pixel edge detection method for images[J]. Journal of Optoelectronics & Laser, 2005,16(8):993-996.(in Chinese) [13]卢蓉,范勇,陈念年,等.一种提取目标图像最小外接矩形的快速算法[J].计算机工程，2010，36（21）：178-180.LU R, FAN Y, CHEN N N, et al.. Fast algorithm for extracting minimum enclosing rectangle of target image [J]. Computer Engineering, 2010, 36(21):178-180. (in Chinese)

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