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Microstructure image processing with automatic analyzer tools imageexpertpro 3

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dc.contributor.author Shaekhova I.
dc.contributor.author Panov A.
dc.contributor.author Nazipova A.
dc.contributor.author Chentaeva A.
dc.date.accessioned 2018-04-05T07:10:40Z
dc.date.available 2018-04-05T07:10:40Z
dc.date.issued 2017
dc.identifier.issn 2393-4727
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/130583
dc.description.abstract This article is devoted to the study of cast iron microstructure and its analysis, as well as to the measurement of various parameters for an image as a whole and the individual objects of the structure using computer-based research methods. Automatic image analyzers (AIA) were very popular in 70-ies of the last century. This is conditioned to the fact that such products contribute to significant reduction of time costs and process complexity during the processing and the calculation of an analyzed image characteristics.1 Modern AIA contain tools, the principle of which is not always clear to a user. In this regard, it is important to study the functions of such tools in order to use them during operation as effectively as possible.2 In particular, this work will consider the tools of the directed action "Binarization", "Spectral filter - stat. differentiation" and "Qualitative filters". AIA Image ExpertPro-3. The choice of the software product is dictated by its availability also in the laboratory of NCHI(f) K(P)FU department. The relevance of the work is conditioned by the need to obtain effective tools and techniques for different material structure analysis, including cast iron.
dc.relation.ispartofseries Astra Salvensis
dc.subject Automatic image analyzer
dc.subject Cast iron
dc.subject Digital image processing
dc.subject Filter
dc.subject Graphite
dc.subject Quantitative analysis
dc.title Microstructure image processing with automatic analyzer tools imageexpertpro 3
dc.type Article
dc.relation.ispartofseries-volume 2017
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 471
dc.source.id SCOPUS23934727-2017-2017-SID85040452672


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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