摘要
针对小直径塞规直线度不易测量的现状,提出利用机器视觉与光学放大的方法,通过获取零件边缘图像,提取坐标,评定直线度误差值。提出针对图像特征,利用改进的算法提取边缘,再通过自标定方法进行系统标定。实验表明,该方法不仅具有较高的测量精度,并且对于测量点数的选择具有指导意义。
Machine vision and optical enlargement are adopted to measure the high-precision straightness error of plug gauge. Straightness error is evaluated by the coordinate which is calculated by the edge of plug gauge. Put forward in view of the image characteristics, using the improved algorithm to extract the edge, then through the method of system self-calibration. It can be concluded that this method of high- precision measurement not only has high measure precision, and has guiding significance for the choice of measuring points.
出处
《煤矿机械》
2015年第3期137-138,共2页
Coal Mine Machinery
基金
陕西省教育厅重点实验室科研计划项目(12JS036)
关键词
机器视觉
塞规
直线度误差
边缘提取
自标定
machine vision
plug gauge
straightness error
edge extraction
self-calibration
