摘要
通过对PCF熔接前的端面图像进行边缘检测和定位,达到识别待熔接PCF类型和校正其位置的目的。首先采用Canny算法进行图像边缘检测,然后采用非线性拟合结合交叉参考的Hough定位方法来精确对准两根待熔pcf的中心轴和包层空气孔。仿真实验结果表明该算法可以获得更小的误差和更高的精确度。
To identify the style of photonic crystal fibers （PCF） and adjust their positions, we should detect the edge of the sections of photonic crystal fibers and find their locations. Firstly, Canny algorithm is used to detect the edge of PCF＇s cross-section, and then hough transform locating method with nonlinear data fitting and cross-reference is used to precisely align the center axes and cladding air-holes between pre-fused PCFs. Comparative simulation results with this method show that lesser error and preferable precision can be obtained.
出处
《电子测量技术》
2009年第4期67-70,74,共5页
Electronic Measurement Technology
关键词
PCF
交叉参考
非线性数据拟合
随机HOUGH变换
熔接
Photonic Crystal Fibers （PCFs）
Cross-Reference
Nonlinear data fitting
Randomized Hough transform
Fusion splicing
