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Characterization of Nanotube Structures Using Digital-Segmented Images

机译:使用数字分段图像表征纳米管结构

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An automatic algorithm for measuring the thickness of carbon nanotubes is presented. The proposed algorithm is based on the computation of the thinning body of nanotubes. The main challenge for measuring the thickness of a nanotube is its isolation, due to the overlapping between nanotubes that typically appears in this type of images. In particular, an algorithm for solving the nanotube overlapping problem in previously-segmented images has also been elaborated. The performance of the algorithm is evaluated through a collection of segmented-images which are obtained from real carbon nanotubes using different types of electronic microscopes. The results of the algorithm are compared with measurements, a ground truth, provided by a nanotechnologist.
机译:提出了一种测量碳纳米管厚度的自动算法。该算法基于纳米管稀化体的计算。测量纳米管厚度的主要挑战是其隔离度,这是由于通常在此类图像中出现的纳米管之间的重叠。特别地,还已经提出了用于解决先前分段的图像中的纳米管重叠问题的算法。通过使用不同类型的电子显微镜从真实碳纳米管获得的分割图像的集合来评估算法的性能。将算法的结果与纳米技术人员提供的测量结果(基本事实)进行比较。

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