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注射器针头缺陷在线检测技术与虚拟仪器实现
引用本文:周建民,周佳,刘燕德.注射器针头缺陷在线检测技术与虚拟仪器实现[J].华东交通大学学报,2010,27(2):33-36.
作者姓名:周建民  周佳  刘燕德
作者单位:华东交通大学,光机电技术及应用研究所,江西,南昌,330013
摘    要:针对国内绝大部分企业采用人工目视进行一次性注射器针头缺陷检测的现状,开发了一种基于虚拟仪器的针头缺陷在线检测系统。系统通过NI公司的c]FP-PWM-520模块控制步进电机,利用LabVIEW的IMAQ VISION软件包进行数字图像处理,包括滤波、图像增强、自动阈值化、形态学处理、定位和模板匹配等。试验表明,该系统可以满足目前企业中各种规格的针头缺陷在线检测需求。

关 键 词:注射器针头  缺陷检测  虚拟仪器  图像处理

On-line Detection Technology of Syringe Needles and Realization of Virtual Instrument
Zhou Jianmin,Zhou Ji,Liu Yande.On-line Detection Technology of Syringe Needles and Realization of Virtual Instrument[J].Journal of East China Jiaotong University,2010,27(2):33-36.
Authors:Zhou Jianmin  Zhou Ji  Liu Yande
Affiliation:(Institute of Opto-mechatronics Technology and Application, East China Jiaotong University, Nanchang 330013, China)
Abstract:Most Chinese enterprises are using artificial visual detection to inspect defects of one-off injectors. According to the status quo, an on-line inspection system of syringe needle defects based on virtual instrument is developS.The system controls stepping motor through c ] FP-PWM-520 module which is produced by NI Company. IMAQ VISION software package is used to perform image processing, including filtering, image enhancement, automatic threshold, morphologic processing, location, template matching and etc. The tests indicates that the system can meet the demands of on-line defect detection of all kinds of syringe needles.
Keywords:syringe needle  defect detection  virtual instrument  image processing
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