两Panda型保偏光纤自动熔接时,需要对准偏振轴，为了高精度地探测保偏光纤的偏振轴，针对Panda型光纤横截面,提出了一种偏振轴的计算机图像精确识别算法，同时利用LabVIEW编程环境,设计及开发了实现该算法的计算机程序，并应用该程序对Panda型保偏光纤偏振轴进行了实际图像的分析处理，以验证该算法的有效性。通过实际运行结果的分析表明，应用计算机图像识别和现代测控技术探测Panda型保偏光纤的偏振轴，可以实现保偏光纤跳线连接器自动化制造，并可极大地提高光轴的识别精度和光纤连接器的生产效率。

Polarization axis should match when two Panda polarization maintaining fibers connect, in order to getting high accuracy identification of the polarization axis, an accurate computer image identification algorithm was presented to identify the polarization axis of the Panda polarization maintaining fiber. To validate the algorithm, program was developed to perform image analysis and processing with LabVIEW software. The practical data of application indicates that they are very useful to improve the identification precision of polarization maintaining fiber and raise productivity of fiber connector with the technologies of computer-aided vision detection and modern measurement & control.