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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| Vydáno v: | 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) s. 1 - 6 |
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| Jazyk: | angličtina |
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IEEE
27.06.2024
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Rogobete, Marius Marascu, Valentina Mihailescu, Marius Iulian Nita, Stefania Loredana |
| Author_xml | – sequence: 1 givenname: Valentina surname: Marascu fullname: Marascu, Valentina email: v.marascu.mi@spiruharet.ro organization: "Spiru Haret" University,Scientific Research Center in Mathematics and Informatics Faculty of Engineering and Computer Science,Bucharest,Romania – sequence: 2 givenname: Marius Iulian surname: Mihailescu fullname: Mihailescu, Marius Iulian email: m.mihailescu.mi@spiruharet.ro organization: "Spiru Haret" University,Scientific Research Center in Mathematics and Informatics Faculty of Engineering and Computer Science,Bucharest,Romania – sequence: 3 givenname: Stefania Loredana surname: Nita fullname: Nita, Stefania Loredana email: stefania.nita@mta.ro organization: "Ferdinand I" Military Technical Academy,Department of Computers and Cybersecurity,Bucharest,Romania – sequence: 4 givenname: Marius surname: Rogobete fullname: Rogobete, Marius email: marius.rogobete@yahoo.com organization: Telematics Harman International,Bucharest |
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| SubjectTerms | Hough transform image processing algorithms k-means Matlab Oxidation Plasmas Process control Python Scanning electron microscopy Software Software algorithms Tungsten |
| Title | Automated Recognition of Structures in Scanning Electron Microscopy Images Using Specialized Algorithms in MATLAB and Python: An Overview |
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