Automated Recognition of Structures in Scanning Electron Microscopy Images Using Specialized Algorithms in MATLAB and Python: An Overview

Applied physics serves as the bridge connecting theoretical principles with their practical implementations in everyday situations. Informatics plays a crucial role in this subject because of its comprehensive and intricate capacity to simulate and forecast physical phenomena. This research highligh...

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Published in2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) pp. 1 - 6
Main Authors Marascu, Valentina, Mihailescu, Marius Iulian, Nita, Stefania Loredana, Rogobete, Marius
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.06.2024
Subjects
Hough transform
image processing algorithms
k-means
Matlab
Oxidation
Plasmas
Process control
Python
Scanning electron microscopy
Software
Software algorithms
Tungsten
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DOI10.1109/ECAI61503.2024.10607504

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Summary:Applied physics serves as the bridge connecting theoretical principles with their practical implementations in everyday situations. Informatics plays a crucial role in this subject because of its comprehensive and intricate capacity to simulate and forecast physical phenomena. This research highlights the indispensability of computer-based algorithms for analyzing the Scanning Electron Images of the obtained materials, particularly materials synthesized by laboratory plasma. Herein, the conducted research highlights the advantages of image processing via Matlab and Python algorithms, in order to analyze the synthesized structures. This approach can offer perspectives on physical processes by employing image processing techniques. The approaches and future directions were identified.
DOI:10.1109/ECAI61503.2024.10607504