摘要
介绍了二维码的结构、标准、编解码过程,以及采集图像上传至上位机的过程。通过分析二维码特性,基于LabVIEW开发的二维码机器视觉检测系统提出图像导入、图像预处理、图像定位和特征提取等研究方法,最终实现二维码识别功能。该系统使用640×480像素的低分辨率图像进行测试,在恶劣条件下取得94%的成功率且处理时间在40 ms/板以下,优于大多数现有系统。
This article briefly introduces the structure,standard,and encoding and decoding process of QR code,as well as the process of uploading the image to the upper computer host computer.By analyzing the characteristics of QR code,this paper presents the research methods of image import,image preprocessing,image localization,and feature extraction based on the QR code machine vision detection system developed by LabVIEW.The system uses 640×480 pixels low resolution images for testing.The system achieves a 94%success rate under harsh conditions with processing times less than 40 ms/plate,and outperforms most of existing systems.
作者
王刚
王硕禾
颜丙杰
Wang Gang;Wang Shuohe;Yan Bingjie(School of Electrical and Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;State Key Laboratory of Automobile Safety and Energy,Tsinghua University,Beijing 100084,China)
出处
《石家庄铁道大学学报（自然科学版）》
2019年第3期89-93,共5页
Journal of Shijiazhuang Tiedao University(Natural Science Edition)
基金
研究生实践基地资助(Z671180101)
河北省分布式能源应用创新中心资助(SG20182050)
