基于机器视觉的动态环境下小尺寸轴检测系统

为准确检测小尺寸轴的尺寸,建立了一种动态环境下基于机器视觉的小尺寸轴检测系统。该系统是采用工业相机、镜头以及平行光作为背景光源组成的机器视觉系统,经过图像预处理、查找表、图像二值化以及边缘特征提取等图像处理技术的处理,采用轮廓分析方法计算了轴的轴直径和槽直径,同时运用最小二乘法拟合轴心线来计算了轴和槽的同轴度误差,最后提出了一种动态环境下的轴尺寸计算方法和环境变化实时监控方法。实验结果表明,该系统检测结果稳定性强、检测精度高,完全满足实际生产应用的要求,具有良好的实用价值。

Small Size Axis Detection System in Dynamic Environment Based on Machine Vision

In order to accurately detect the size of the small size shaft, a small size axis detection system based on machine vision under dynamic environment is established. The system is a machine vision system composed of industrial camera, lens and parallel light as background light source. It is processed by image processing technology, such as image preprocessing, lookup table, binaryzation and edge feature extraction. It calculates the axis diameter and groove diameter by contour analysis,and calculates the coaxiality error of axles and grooves by using the least square method to fit the axis line. Finally, a method for calculating shaft size in dynamic environment and a real-time monitoring method for environmental changes are proposed. The experimental results show that the system has strong stability and high detection accuracy, which fully meets the requirements of production application and has good practical value.