零件尺寸图像检测数据处理与高精度检测方法

摘要

For the use of Machine Vision in shaft size detection, this paper propose a method which completes the image distortion correction and system calibration by using commonly used industry standard parts. This method effectively improves the detection accuracy, simplifies the tedious process of calibration of conventional systems. By analyzing the main causes of error in image detection, the formal equation from error equation is established. Image distortion is corrected and calibrated at the same time. The coefficient of normal-type is calculated. This method is not only simple, but also effective to improve the accuracy of the image detection. The experiment proves that detection accuracy can reach 4μm at the resolution of 3450DPI, completely applicable to high-precision detection of shaft.%针对机器视觉在轴类零件尺寸检测中的应用,提出了一种利用工业中常用的标准件同时完成视觉检测系统的图像畸变校正与系统标定的方法,有效的提高了检测精度,简化了传统系统标定的繁琐过程.该方法通过分析图像检测中误差形成的主要来源,建立了误差方程的正规方程式,在求解正规式系数的同时完成对检测系统的校正与标定.不但操作简单,且具有较高的检测精度.经实验证明,在检测分辨率为3450DPI的情况下,检测精度可达到4μm,完全适用于轴类零件的高精度检测.