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Automated Nanofiber Diameter Measurement in SEM Images Using a Robust Image Analysis Method

机译：使用鲁棒图像分析方法自动纳米纤维直径测量SEM图像

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摘要

Due to the high surface area, porosity, and rigidity, applications of nanofibers and nanosurfaces have developed in recent years. Nanofibers and nanosurfaces are typically produced by electrospinning method. In the production process, determination of average fiber diameter is crucial for quality assessment. Average fiber diameter is determined by manually measuring the diameters of randomly selected fibers on scanning electron microscopy (SEM) images. However, as the number of the images increases, manual fiber diameter determination becomes a tedious and time consuming task as well as being sensitive to human errors. Therefore, an automated fiber diameter measurement system is desired. In the literature, this task is achieved by using image analysis algorithms. Typically, these methods first isolate each fiber in the image and measure the diameter of each isolated fiber. Fiber isolation is an error-prone process. In this study, automated calculation of nanofiber diameter is achieved without fiber isolation using image processing and analysis algorithms. Performance of the proposed method was tested on real data. The effectiveness of the proposed method is shown by comparing automatically and manually measured nanofiber diameter values.
机译：由于高表面积，孔隙度和刚性，近年来纳米纤维和纳米术的应用。纳米纤维和纳米呋喃植物通常通过静电纺丝法生产。在生产过程中，平均纤维直径的测定对于质量评估至关重要。通过在扫描电子显微镜（SEM）图像上手动测量随机选择的纤维的直径来确定平均纤维直径。然而，随着图像的数量增加，手动光纤直径确定变得繁琐且耗时的任务以及对人类错误敏感。因此，需要自动纤维直径测量系统。在文献中，通过使用图像分析算法实现此任务。通常，这些方法首先将每个纤维分离在图像中并测量每个分离的光纤的直径。纤维隔离是一种易于易置的过程。在该研究中，使用图像处理和分析算法实现无纤维隔离的纳米纤维直径的自动计算。在真实数据上测试了所提出的方法的性能。通过自动和手动测量的纳米纤维直径值进行比较来示出所提出的方法的有效性。

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