Interpretable graph methods for determining nanoparticles ordering in electron microscopy image Article Swipe
Mikhail Kurbakov
,
Valentina Sulimova
,
Oleg Seredin
,
Andrey Kopylov
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18287/2412-6179-co-1568
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18287/2412-6179-co-1568
An important step in determining the properties of carbon materials is the analysis of images from a scanning electron microscope (SEM). These images show the material surface after the application of metal nanoparticles. The order of these nanoparticles is a key characteristic that affects the material properties. We have previously proposed an approach to formalize the order features based on the identification of lines by nanoparticles in the SEM image. This paper proposes a novel approach to line allocation that is based on the concept of constructing a minimum spanning forest. Additionally, it introduces a set of novel ordering functions that are derived from this approach. The experimental study demonstrates that the combination of these new and previously extracted features improves the recognition quality of SEM images with ordered and disordered nanoparticles arrangements. This approach allows us to gain a better understanding of the nanoparticles arrangement and their effect on the material properties.
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- https://computeroptics.ru/KO/PDF/KO49-3/490313.pdf
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- 22
- OpenAlex ID
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https://doi.org/10.18287/2412-6179-co-1568Digital Object Identifier
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Interpretable graph methods for determining nanoparticles ordering in electron microscopy imageWork title
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enPrimary language
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2025Year of publication
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2025-06-01Full publication date if available
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Mikhail Kurbakov, Valentina Sulimova, Oleg Seredin, Andrey KopylovList of authors in order
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https://doi.org/10.18287/2412-6179-co-1568Publisher landing page
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https://computeroptics.ru/KO/PDF/KO49-3/490313.pdfDirect link to full text PDF
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diamondOpen access status per OpenAlex
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https://computeroptics.ru/KO/PDF/KO49-3/490313.pdfDirect OA link when available
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0Total citation count in OpenAlex
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22Number of works referenced by this work
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