Automated region of interest retrieval of metallographic images for quality scoring estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86076522" target="_blank" >RIV/61989100:27240/10:86076522 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27600/10:86076522
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automated region of interest retrieval of metallographic images for quality scoring estimation
Original language description
The aim of the research is development and testing of new methods to assess the quality of digital metallographic images introduced in the quality of steel with high added value. In this paper, we will address the development of methods to assess the quality of metallographic samples, including slabs with the main emphasis on the quality of the image center. For this reason, we introduce an alternative method for automated region of interest retrieval. 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F432" target="_blank" >FR-TI1/432: *New advanced computational methods for quality control in production of high quality steels</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Automated region of interest retrieval of metallographic images for quality scoring estimation
ISBN
978-1-4244-6395-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Place of publication
NEW YORK
Event location
Houston, USA
Event date
Oct 3, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000287415300061