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An Improved Method for Palladium Nanoparticles Detection on Carbon Materials in Scanning Electron Microscope Images
M.Yu. Kurbakov1, V.V. Sulimova1, O.S. Seredin1, A.V. Kopylov1

1 Tula State University, 300012, Russia, Tula, Lenina Ave. 92

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DOI: 10.18287/COJ1825

Article ID: 1825

Language: English

Abstract:
The subject of this paper is the urgent problem of detecting palladium nanoparticles on car-bon materials in grayscale scanning electron microscope images, the solution of which can be useful in many technological processes of the chemical industry. This is nontrivial problem and, currently, there is no method that would have all the necessary qualities for its solution. This work is based on our previously developed method for detecting nanoparticles based on exponential approximation, which showed the best accuracy for scanning electron microscope images in absence of essential background irregularities. However, it has two significant shortcomings: 1) high demands on computing resources and 2) in the presence of background irregularities it produces a large number of false positives. This paper proposes a method that preserves the basic assumptions and general concept and, accordingly, the main advantages of earlier proposed approach, however, it contains a number of significant improvements that allow eliminating the above-mentioned shortcomings. Experiments show that the proposed method reduces the number of false positives by 60-70% for SEM images with background irregularities while decreasing the nanoparticle detection time by approximately two to three times compared with the previously proposed approach.

Keywords:
noisy image analysis, nanoparticle detection, exponential approximation with shift.

Acknowledgements:
This research is funded by the Ministry of Science and Higher Education of the Russian Federation within the framework of the state task FEWG-2024-0001. The authors thank the Scientific School of Academic V.P. Ananikov for the research topic, useful discussions and provided experimental data.

Citation:
Kurbakov MY, Sulimova VV, Seredin OS, Kopylov AV. An Improved Method for Palladium Nanoparticles Detection on Carbon Materials in Scanning Electron Microscope Images. Computer Optics 2026; 50(3): 1825. doi: 10.18287/COJ1825.

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