面向扫描电镜图像中纳米颗粒自动识别的图像处理

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI:10.1109/ROBOMECH.2019.8704799

Nicolene Botha, G. Wessels, N. Botha, Beatrice van Eden

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引用次数: 2

摘要

扫描电镜图像在表征材料性能方面是至关重要的。如果没有对材料的任何先验知识，这些图像可能很难解释。本文讨论了一种帮助卷积神经网络识别复合扫描电镜图像中纳米颗粒存在的预处理方法。利用合成的扫描电镜图像开发了预处理方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Image processing towards the automated identification of nanoparticles in SEM images

SEM images are crucial in the characterisation of material properties. These images can be very hard to interpret without any prior knowledge of the material. This paper discusses a pre-processing method for assisting convolutional Neural Networks in identifying the presence of nanoparticles in composite SEM images. The pre-processing method is developed using a synthetic SEM image.

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2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)

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