基于机器视觉的光纤连接插芯内径测量系统

为了实现针对光纤连接插芯内径参数的精密和快速测量,首先采用了机器视觉方案,通过显微镜把内孔图像成像在高分辨率的CCD上,并获取图像,然后通过图像处理方法,计算出了光纤连接插芯的内径大小和真圆度,最后通过合理设计相应的硬件和软件,实现了光纤连接插芯内径参数的快速非接触式自动测量;同时提出了一种确定图像边缘的新方法,消除了光强变化对阈值设定产生的干扰,并对所采用的参数检测算法进行了阐述。实验结果表明,整个自动测量系统的测量精度达到了亚微米级,且具备抗光强变化干扰的性能。

Fiber optic connector ferrule inner hole measurement system based on machine vision

Aiming at measuring fiber optic connector ferrule inner hole parameters,a scheme based on machine vision scheme was adopted.Firstly,the inner hole image was acquired by using a high definition camera and microscope,and then it was processed to calculate the hole diameter and roundness.Related hardware and software were designed properly to realize the swift and automatic non-contact measurement system.A novel method was presented to locate the edge points,with eliminating the interference aroused by light intensity fluctuation.The implemented paremeter measuring algorithm was also presented.The experimental results show that the whole instrument system accuracy approaches sub-micron,and the system remains robustic to the variation of the light intensity.