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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27600/13:86085119

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/FR-TI1%2F432" target="_blank" >FR-TI1/432: *Nové moderní výpočetní metody pro řízení kvality v oblasti výroby náročných jakostí ocelí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Frontiers in Artificial Intelligence and Applications. Volume 251

ISBN

978-1-61499-176-2

ISSN

0922-6389

e-ISSN

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Počet stran výsledku

7

Strana od-do

181-187

Název nakladatele

IOS Press

Místo vydání

Amsterodam

Místo konání akce

Praha

Datum konání akce

4. 6. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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