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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 226))

Abstract

Quantitative and qualitative description of particles is one of the most important tasks in the Electron Microscopy (EM) analysis. In this paper, we present an algorithm for identifying ball-like nanostructures of gahnite in the Transmission Electron Microscopy (TEM) images. Our solution is based on the cross-entropy clustering which allows to count and measure disk-like objects which are not necessary disjoint or with not smooth borders.

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Correspondence to P. Spurek .

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© 2013 Springer International Publishing Switzerland

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Spurek, P., Tabor, J., Zając, E. (2013). Detection of Disk-Like Particles in Electron Microscopy Images. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_40

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  • DOI: https://doi.org/10.1007/978-3-319-00969-8_40

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00968-1

  • Online ISBN: 978-3-319-00969-8

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