| 摘 要: 针对传统的八角光纤端面的几何参数测量效率低下且精度不高的问题,设计了一种基于机器视觉的八角光纤端面几何参数测量算法。使用数字图像处理技术,利用亚像素轮廓检测算法对八角光纤包层端面进行边缘提取与分割,设计有效轮廓筛选算法,设定相关筛选参数以去除无效边缘,提出辅助线参数测量法,完成八角光纤端面几何参数测量。为验证算法重复性,针对多组图像进行几何参数测量实验,测量结果显示几何参数的重复性平均值约为0.015 μm;实验结果表明:该算法易于操作且达到企业技术指标要求。 |
| 关键词: 机器视觉;八角光纤端面几何参数;轮廓检测;有效轮廓筛选算法;辅助线参数测量法 |
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中图分类号: TP391.41
文献标识码: A
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| 基金项目: 国家自然科学基金面上项目(52175513) |
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| Algorithm Design for Measuring Geometric Parameters of Octagonal Optical Fiber Endface |
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XU Yunjie, CHEN Xiaorong, XU Ting, WANG Yuanye, WANG Zixuan
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(School of Optical-Electrical and Computer Engineering, University of Shanghai f or Science and Technology, Shanghai 200093, China)
xyjrx0226@163.com; cxrsjtu@163.com; 3382971175@qq.com; 1002692687@qq.com; xrlymxx@163.com
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| Abstract: Aiming at the low efficiency and accuracy of the traditional geometric parameters measurement of octagonal optical fiber endface, this paper proposes to design a geometric parameter measurement algorithm for octagonal optical fiber endface based on machine vision. Digital image processing technology and sub-pixel contour detection algorithm are used to extract and segment the edges of the octagonal optical fiber cladding endface so that the effective contour filtering algorithm is designed. Relevant filtering parameters are set to remove the invalid edges, and the auxiliary line parameter measurement method is proposed to complete the measurement of geometric parameters of the octagonal optical fiber endface. To verify the repeatability of the algorithm, geometric parameter measurement experiments are carried out for several groups of images, and the measurement results show that the average repeatability of the geometric parameters is about 0.015 μm. The experimental results show that the algorithm is easy to operate and it meets the requirements of the enterprise's technical specifications. |
| Keywords: machine vision; geometric parameters of the octagonal optical fiber endface; contour detection;effective contour filtering algorithm; auxiliary line parameter measurement method |
