%0 Journal Article
%T 基于机器视觉刀具几何参数检测算法与误差分析<br>Algorithm and error analysis of tool geometric parameters detection based on machine vision
%A 侯秋林
%A 孙杰
%A 皇攀凌
%A 孙超
%A 牟文平&lt
%A br&gt
%A HOU Qiulin
%A SUN Jie
%A HUANG Panling
%A SUN Chao
%A MOU Wenping
%J 山东大学学报（工学版）
%D 2017
%R 10.6040/j.issn.1672-3961.0.2017.064
%X 摘要： 为解决航空整体结构件数控加工过程中因换刀频繁而导致刀具出错的问题,提出一种连通域外接矩形的刀具几何参数检测算法,开发基于机器视觉的刀具几何参数在位快速检测系统。采用工业相机、双远心镜头等采集刀具图像,利用MATLAB软件对刀具图像进行灰度变换、二值化等预处理,详细分析连通域标记算法和外接矩形算法的处理过程。结果表明,基于机器视觉的刀具几何参数在位快速检测系统的直径误差小于0.01 mm,悬长误差小于0.08 mm、响应速度快、测量精度高和抗噪性强。<br>Abstract: A bounding rectangle algorithm of connected component was investigated for measuring tool geometrical parameters. An in-position detection system for measuring tool geometrical parameters was developed based on machine vision, which were to solve the problem of wrong tool because of tools’ change frequently in NC machining process of aeronautical monolithic components. The system was carried out by means of using industrial cameras, dual-telephoto lens and others to collect tool image, and using image processing software MATLAB to have image pretreatment including grayscale transformation and binarization. The processes of connected component labeling algorithm and bounding rectangle algorithm were analyzed. The results showed that diameter error was less than 0.01 mm and hanging length error was less than 0.08 mm in the in-position detection system for measuring tool geometrical parameters based on machine vision. The system had a high response speed, high measuring accuracy and anti-noise performance
%K 机器视觉
%K 外接矩形
%K 误差分析
%K 连通域
%K 刀具几何参数
%K &lt
%K br&gt
%K connected component
%K tool geometrical parameters
%K error analysis
%K machine vision
%K bounding rectangle
%U http://gxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1672-3961.0.2017.064