基于机器视觉的五坐标机床旋转轴误差检测方法

提出了一种利用机器视觉技术对五坐标机床旋转轴转角定位误差进行检测的方法。首先，通过制作特定的标志，用CCD相机获取标志图像；然后，通过数字图像处理技术对所获得的图像进行分析处理；最后，根据标志在不同位置处的相对转角偏差计算机床旋转轴的转角定位误差，实现五坐标机床旋转轴转角定位误差的辨识和测量。同时，将该方法与传统检测方法进行对比，实验结果表明，所提出的检测方法简单、高效，可以实现机床旋转轴误差的快速检测，并为五坐标机床旋转轴误差的补偿提供了计算依据。

Error Measurement Method for Rotation Axes of Five axis Machine Tool Based on Machine Vision

A measurement method was proposed for rotation axes of five axis machine tool based on machine vision. Firstly, the vision technology was adopted to obtain sign images by using CCD camera. Then, the digital image processing techniques were used to analyze these images. At last, the positioning errors of rotary axes were identified by calculating the relative rotary errors at different positions of rotation axes of machine tool. Comparing to traditional method, the experimental results showed that the proposed method with a simply, high efficiency and application value provided a computation basis for the error compensation of a machine tool.