基于LabVIEW和IMAQ的动车车号自动识别  

Automatic Identification of Train Numbers Based on LabVIEW and IMAQ

作　　者：杨世凤[1] 张旺 张立洲 郭忠吉 王慧聪[1] YANG Shifeng;ZHANG Wang;ZHANG Lizhou;GUO Zhongji;WANG Huicong(College of Electronic Information and Automation,Tianjin University of Science&Technology,Tianjin 300222,China)

机构地区：[1]天津科技大学电子信息与自动化学院,天津300222

出　　处：《天津科技大学学报》2020年第3期69-73,共5页Journal of Tianjin University of Science & Technology

摘　　要：随着人工智能的快速发展,机器视觉系统所具有的数字化、智能化、实时化等特点逐渐被应用到实际项目中.此系统以实现对过往动车车号识别为研究目的,采用NI公司的LabVIEW软件作为开发平台,调用IMAQ专业控件及Vision Assistant函数库,设计一款智能化,并同时包括图像采集、图像预处理、车号定位与字符识别等完整的动车车号识别系统.此系统包含背景校正算法、基本形态学算法以及字符间距分割算法等,且动车车号识别率高达99.81%,解决实际应用问题,为进一步研究奠定基础.With the rapid development of artificial intelligence,the digital,intelligent and real-time characteristics of machine vision system have gradually been applied to reality.In order to realize the identification of passing train’s number,a complete intelligent car number recognition system was designed using LabVIEW software as the development platform,in combination with IMAQ and Vision Assistant function library.This system includes image acquisition,image preprocessing,train number positioning and character recognition;background correction algorithm,basic morphology algorithm and character spacing segmentation algorithm are also employed.As a result,the identification rate of the train number can be up to 99.81%,which meets the designed requirements and lays a foundation for further research.

关 键 词：机器视觉 动车车号 LabVIEWIMAQ 背景校正算法 字符间距分割算法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]