基于机器视觉图标识别系统的研究与开发  

Research and Development of Icon Recognition System Based on Machine Vision

作　　者：曹宁 CAO Ning(Suzhou Industrial Park Industrial Technology School,Suzhou Jiangsu 215123,China)

机构地区：[1]苏州工业园区工业技术学校,江苏苏州215123

出　　处：《信息与电脑》2020年第23期72-74,共3页Information & Computer

基　　金：“江苏省教育科学规划课题”重点资助项目支持(项目编号:C-a/2020/03/04);“中国职业技术教育学会教学工作委员会2019-2020年度职业教育教学改革课题研究”项目支持(项目编号:1910326)。

摘　　要：以二维码和条形码为代表的机器视觉已得到广泛应用,然而两者均对人眼识别不够友好,无法在人机协同作业中使用。为此,本文提出一种基于机器视觉的图标识别系统,可快速识别人眼识别友好的图标。该系统首先将摄像头实时采集的图像转二值化,第二步将二值化图像分割为9*9小格,得到每个小格中心点的二值化信息,与模板信息匹配,最后判断得出识别结论。经实验验证,该方式识别图标快速准确,效果良好。Machine vision represented by two-dimensional code and barcode is widely used,but both are not friendly enough for human eye recognition and cannot be used in human-machine collaborative work.Therefore,this paper proposes a machine vision-based icon recognition system that can quickly identify human-friendly icons.The system first converts the real-time image captured by the camera into binary image.Secondly,divide the binary image into 9*9 cells,get the binary information of each cell center point,match with the template information,and finally judge and draw the recognition conclusion.Experiments show that the method is fast and accurate in identifying icons,and the effect is good.

关 键 词：机器视觉 图标识别 LABVIEW语言 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]