基于影像仪测量直线度误差的优化方法研究

Optimization method of straightness error based on video measuring machine

  • 摘要: 针对影像仪测量直线度误差的特点,设计了一种改进的边缘检测模板进行边缘提取,并提出一种满足最小条件的直线度误差评定的方法区间距离算法来优化直线度误差的测量。通过采用影像法对光滑极限塞规的高精度测量实验,与传统边缘检测方法和斜率搜索法进行比较,实例结果表明,改进的边缘检测算法相对于传统检测模板计算卷积次数减少一半,可以提高测量速度,采用区间距离算法与斜率搜索算法相比较,相同8组数据直线度误差相对误差不超过2%,平均计算速度提高0.01 s。实验验证在影像仪测量不同直径塞规直线度误差的自动化测量中,采用该优化方法可以节约计算时间4.45 s,并通过不同评定方式的比较,提出测量直线度误差最佳测量跨距在0.078 mm~0.104 mm的建议,对实际直线度误差测量具有指导意义。

     

    Abstract: According to the characteristics of the video measuring machine, the optimization of straightness error measuring was introduced. A method to evaluate straightness error with intervaldistance improved algorithm which conforms to minimum zone condition was proposed and the improved edge detection template was designed. Using the method of image measurement experiment of smooth limit gauge, comparing with the traditional edge detection method and gradient search method, a system for measuring straightness error was tested. Experiment results show that the improved edge detection algorithm can improve the measurement speed, the calculation convolution time is reduced by half comparing with the traditional testing templates.The intervaldistance improved algorithm was compared with the gradient searching algorithm, and results show that the relative error of straightness error for the same 8 groups of data is less than 2%, the average computation speed is increased by 0.01 s. It is verified that the computation time can be saved by 4.45 s with the optimized method in the experiment for measuring straightness error of different diameter gauges by imaging instrument . Through different ways of evaluation, the best span for measuring straightness error of 0.078 mm~0.104 mm was advized,which can provide a foundation for realtime detection.

     

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