About: Automated region of interest retrieval of metallographic images for quality classification in industry

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The aim of the research is development and testing of new methods to classify the quality of metallographic samples of steels with high added value (for example grades X70 according API). In this paper, we address the development of methods to classify the quality of slab samples images with the main emphasis on the quality of the image center called as segregation area. For this reason, we introduce an alternative method for automated retrieval of region of interest. In the first step, the metallographic image is segmented using both spectral method and thresholding. Then, the extracted macrostructure of the metallographic image is automatically analyzed by statistical methods. Finally, automatically extracted region of interests are compared with results of human experts. Practical experience with retrieval of non-homogeneous noised digital images in industrial environment is discussed as well. The aim of the research is development and testing of new methods to classify the quality of metallographic samples of steels with high added value (for example grades X70 according API). In this paper, we address the development of methods to classify the quality of slab samples images with the main emphasis on the quality of the image center called as segregation area. For this reason, we introduce an alternative method for automated retrieval of region of interest. In the first step, the metallographic image is segmented using both spectral method and thresholding. Then, the extracted macrostructure of the metallographic image is automatically analyzed by statistical methods. Finally, automatically extracted region of interests are compared with results of human experts. Practical experience with retrieval of non-homogeneous noised digital images in industrial environment is discussed as well. (en)
Title	Automated region of interest retrieval of metallographic images for quality classification in industry Automated region of interest retrieval of metallographic images for quality classification in industry (en)
skos:prefLabel	Automated region of interest retrieval of metallographic images for quality classification in industry Automated region of interest retrieval of metallographic images for quality classification in industry (en)
skos:notation	RIV/61989100:27740/12:86084961!RIV13-MPO-27740___
http://linked.open...avai/predkladatel	IT4Innovations
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(FR-TI1/432)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Vondrák, Vít Praks, Pavel
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / IT4Innovations
http://linked.open...dnocenehoVysledku	124182
http://linked.open...ai/riv/idVysledku	RIV/61989100:27740/12:86084961
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	industry; classification; quality; for; images; metallographic; retrieval; interest; region; Automated (en)
http://linked.open.../riv/klicoveSlovo	classification for images quality region Automated metallographic industry interest retrieval
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[843E1981EE94]
http://linked.open...i/riv/nazevZdroje	Advances in Electrical and Electronic Engineering
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	*New advanced computational methods for quality control in production of high quality steels
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	10
http://linked.open...iv/tvurceVysledku	Kotas, Petr Vondrák, Vít Praks, Pavel Ladislav, Válek Vesna, Zeljkovic
issn	1336-1376
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	27740
is http://linked.open...avai/riv/vysledek of	Automated region of interest retrieval of metallographic images for quality classification in industry

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