Panda型保偏光纤偏振轴检测技术

保偏光纤偏振轴的测定是保偏光纤应用中的关键技术。在基于图像处理的Panda型保偏光纤定轴系统中,针对应力圆边缘检测存在伪边缘造成应力圆圆心定位不准的问题,提出了一种基于最小二乘法改进的圆检测方法,通过检测到的圆参量计算阈值并剔除阈值范围外的边缘点,进行迭代拟合,迭代过程中圆参量不发生变化后停止迭代。实验结果表明:该方法可以很好地去除噪声和伪边缘对圆检测造成的干扰,并对真实Panda型保偏光纤端面图像的处理有较好的鲁棒性。

Accurate detection technology for polarization axis of Panda polarization-maintaining fiber

The detection of polarization axis is a key technology in application of polarization-maintaining fiber(PMF). In the azimuth system for PMF based on image processing, the false edge of the stress circle in edge detection made the center location incorrect. In order to solve the problem, a method based on least square fitting was proposed. This method wiped out the incorrect edge in the process of iteration. When the number of point for iteration was smaller than a threshold, it came back to the original set of point for iteration. Experimental result show that the algorithm can avoid the disturbance made by noise and the incorrect edge. When coming to the real cross-section image, it shows strong robustness.