Grain Boundaries Imaged by Integration of Sobel Filtered Scanning Transmission Electron Micrographs

Min-Chul Kang; Jinsu Oh; Cheol-Woong Yang

doi:10.9729/AM.2018.48.4.132

https://doi.org/10.9729/AM.2018.48.4.132

Grain Boundaries Imaged by Integration of Sobel Filtered Scanning Transmission Electron Micrographs

Applied Microscopy 2018;48:132-3

Published online December 28, 2018

Min-Chul Kang, Jinsu Oh, and Cheol-Woong Yang^*

School of Advanced Material Science & Engineering, Sungkyunkwan University, Suwon 16419, Korea

Correspondence to: Yang CW, http://orcid.org/0000-0003-0475-8399, Tel: +82-31-290-7362, Fax: +82-31-290-7371, E-mail: cwyang@skku.edu

Received December 25, 2018; Revised December 27, 2018; Accepted December 28, 2018.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract: One of the most important factors determining the properties of a material is its grain size. However, unclear grain boundaries in the image hinder an accurate measurement of grain size. We demonstrate that grain boundaries existing in the images obtained by scanning transmission electron microscopy (STEM) can be clearly distinguished by applying a Sobel filter to a tilting series of STEM images of a hydrogenation-disproportionationdesorption-recombination processed Nd2Fe14B magnet sample.; Keywords : Sobel filter, Image processing, Poisson noise, Channeling contrast

References

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