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Automated Inspection of Defects in Optical Fiber Connector End Face Using Novel Morphology Approaches

机译:使用新型形态学方法自动检查光纤连接器端面缺陷

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摘要

Increasing deployment of optical fiber networks and the need for reliable high bandwidth make the task of inspecting optical fiber connector end faces a crucial process that must not be neglected. Traditional end face inspections are usually performed by manual visual methods, which are low in efficiency and poor in precision for long-term industrial applications. More seriously, the inspection results cannot be quantified for subsequent analysis. Aiming at the characteristics of typical defects in the inspection process for optical fiber end faces, we propose a novel method, “difference of min-max ranking filtering” (DO2MR), for detection of region-based defects, e.g., dirt, oil, contamination, pits, and chips, and a special model, a “linear enhancement inspector” (LEI), for the detection of scratches. The DO2MR is a morphology method that intends to determine whether a pixel belongs to a defective region by comparing the difference of gray values of pixels in the neighborhood around the pixel. The LEI is also a morphology method that is designed to search for scratches at different orientations with a special linear detector. These two approaches can be easily integrated into optical inspection equipment for automatic quality verification. As far as we know, this is the first time that complete defect detection methods for optical fiber end faces are available in the literature. Experimental results demonstrate that the proposed DO2MR and LEI models yield good comprehensive performance with high precision and accepted recall rates, and the image-level detection accuracies reach 96.0 and 89.3%, respectively.
机译:增加光纤网络的部署以及对可靠的高带宽的需求使得检查光纤连接器端的任务面向不容忽视的关键过程。传统的端面检查通常是通过手动视觉方法进行的,这在长期工业应用的精确度和较低的效率和差。更严重的是,检查结果不能用于随后的分析。针对光纤端面的检查过程中典型缺陷的特点,我们提出了一种新的方法,“最小值排名过滤”(DO2MR)的差异,用于检测基于区域的缺陷,例如污垢,油,污染,凹坑和芯片,以及一种特殊模型,一个“线性增强检查员”(LEI),用于检测划痕。 DO2MR是一种旨在通过比较像素周围邻域中的邻域灰度值的差异来确定像素是否属于缺陷区域的像素。 Lei也是一种形态学方法,旨在以特殊的线性检测器搜索不同方向的划痕。这两种方法可以很容易地集成到用于自动质量验证的光学检查设备中。据我们所知,这是第一次在文献中获得了光纤端面的完全缺陷检测方法。实验结果表明,建议的DO2MR和LEI模型具有高精度和接受的召回率,分别具有高精度和接受的召回率,分别达到96.0和89.3%。

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