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Experiences Implementing Developed Industrial Software for the Center Quality Modeling of Slabs in Metalography

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86085119" target="_blank" >RIV/61989100:27240/13:86085119 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27600/13:86085119

  • Result on the web

    <a href="http://dx.doi.org/10.3233/978-1-61499-177-9-181" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-177-9-181</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/978-1-61499-177-9-181" target="_blank" >10.3233/978-1-61499-177-9-181</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experiences Implementing Developed Industrial Software for the Center Quality Modeling of Slabs in Metalography

  • Original language description

    Recognizing the central quality of a metallographic sample represents, for a metallographic laboratory expert, a challenging task involving analyzing the size and number of defects at the evaluated segment. In order to help human experts, a software toolwas developed for machine evaluation of these metallographic samples. The aim of the paper is to present the properties of the developed software and to demonstrate its practical application in industry. The developed software tool is based on the machine recognition of small but important non-homogeneity objects located at the central part of the metallographic sample and on a statistical evaluation of the properties of these extracted central objects. Because the central objects are very similar to noise, machine recognition is not straightforward. However, this paper contains promising results of comparing machine and expert assessments of an industrial image database of digitized metallographic samples. The image database is provid

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Frontiers in Artificial Intelligence and Applications. Volume 251

  • ISBN

    978-1-61499-176-2

  • ISSN

    0922-6389

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    181-187

  • Publisher name

    IOS Press

  • Place of publication

    Amsterodam

  • Event location

    Praha

  • Event date

    Jun 4, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article