图像技术在包芯线自动卷绕机械中的应用  

Application of Image Processing in Cored-Wire Automation Control System

作　　者：陈鹿民[1] 张存鹰[2] 刘洁[1] 谢烽[1] 

机构地区：[1]郑州轻工业学院,河南省郑州市450002 [2]河南职业技术学院机电工程系,河南省郑州市450002

出　　处：《微计算机信息》2008年第36期312-314,285,共4页Control & Automation

基　　金：河南省教育厅2006年河南省高校新世纪优秀人才支持计划(2006HANCET-18);项目名称:四足步行焊接机器人的关键技术研究

摘　　要：由于包芯线材料较软容易变形,导致卷绕过程中包芯线间隙过大或者错排乱排现象,为实现排线的高质量和快速性,设计了一种基于图像处理技术的包芯线自动卷绕系统。采用平滑滤波、灰度增强等预处理方法对图像进行加工,并利用类间方差法确定阈值,动态阈值分割图像,有效避免了光照以及生产过程中的干扰因素影响,将原始图像转化为不含噪声的二值化包芯线灰度图,采用差分边缘算子对图像边缘检测,提取间隙几何特征,识别包芯线间隙并驱动可执行机构采取处理措施。该算法对包芯线卷绕系统具有较强的实用性和适用性,并在试验中取得了较好效果。Cored wire is easily distorted and leads to an irregular section profile because the contented material is relatively soft and cored wire is sometimes less filled. This would results in tangled wound wire and bad product quality. Our goal is to design an inex-pensive automatic winding machine based image processing technique to meet the requirements of higher productivity. The methods such as image smoothing and gray enhancement are applied to improve image quality,and image is segmented by dynamic threshold which is determined by OTSU,extracting vertical edges with the difference algorithm. Width between wires is considered the geomet-ric feature,recognize the gap and drive execution system to correct. This algorithm has grateful practicability and applicability for the cored-wire manufacturing.

关 键 词：包芯线 排线系统 图像检测 几何特征提取 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]