节点文献
基于计算机视觉的砂轮磨损状态的在线检测
Online Detection of the Wear Status of a Grinding Wheel Using Computer Vision
【摘要】 介绍了数字化曲线点磨削在线检测系统的组成和原理;采用图像拼接算法对采集到的多幅工件重叠图像进行处理;运用数学形态学边缘检测算子提取边缘得到工件的实际加工曲线,并与理论曲线作比较,从而分析出砂轮的磨损状况,获得砂轮的磨损量。实验结果表明本文所提出的方法是有效可行的。
【Abstract】 We present an online detection system for digital curve point grinding and process the overlapping images of several work-pieces using the image mosaic algorithm.The actual processing curves of the work-pieces are obtained by extracting their edges through edge detection operators in mathematical morphology and the curves are also compared with theoretical curves.We thus analyze the wear status of a grinding wheel and know its wear extent.
【关键词】 点磨削;
砂轮磨损;
在线检测;
计算机视觉;
【Key words】 point grinding; grinding wheel′s wear; on-line detection; computer vision;
【Key words】 point grinding; grinding wheel′s wear; on-line detection; computer vision;
【基金】 上海市科委重点科技基金项目(021111125)资助
- 【文献出处】 机械科学与技术 ,Mechanical Science and Technology for Aerospace Engineering , 编辑部邮箱 ,2007年09期
- 【分类号】TP274.4
- 【被引频次】22
- 【下载频次】395