Detection of disk-like particles in electron microscopy images
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dc.type
BookSection
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dc.pubinfo
Cham
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dc.pubinfo
Heidelberg
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dc.pubinfo
New York
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dc.pubinfo
Dordrecht
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dc.pubinfo
London : Springer International Publishing
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dc.description.physical
411-417
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dc.abstract.en
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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dc.description.series
Advances in intelligent systems and computing, ISSN 2194-5357, eISSN 2194-5365; 226
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dc.description.publication
0,44
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dc.description.conftype
international
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dc.identifier.doi
10.1007/978-3-319-00969-8_40
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dc.identifier.eisbn
978-3-319-00969-8
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dc.title.container
Proceedings of the 8th international conference on computer recognition systems CORES 2013
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dc.language.container
eng
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dc.affiliation
Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej
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dc.subtype
ConferenceProceedings
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dc.conference
8th International Conference on Computer Recognition Systems CORES 2013; 2013-05-27; 2013-05-29; Miłków; Polska; indeksowana w Web of Science; indeksowana w Scopus; ;