Pattern Recognition By Use Of Functions Of Invariants

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU77277" target="_blank" >RIV/00216305:26220/08:PU77277 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Pattern Recognition By Use Of Functions Of Invariants

Popis výsledku v původním jazyce

Visual system is the basic tool for non-contact inspection in industries. Such system usually has to detect defects and reject faulty products automatically. This article deals with autonomous visual system for glass bottle inspection, which has to detect non-homogenous regions in ROI in images. Additional system is able to distinguish between regions belongs to defect from regions belongs to manmade patterns, so that products can be made in high quality and cost-effective way. Snag is that synthetic patterns (like a word-sign) and defects (dirt, crack etc.) have similar image characteristics, hence it is difficult to recognize between them. In order to solve mentioned task we introduce novel method based on moment invariants. Each detected non-homogenous region is wilfully modified by so called "circle degradation" algorithm in several steps. Moment invariants corresponding to modified regions are then computed and subsequently functions of these invariants are created. On the basis o

Název v anglickém jazyce

Pattern Recognition By Use Of Functions Of Invariants

Popis výsledku anglicky

Visual system is the basic tool for non-contact inspection in industries. Such system usually has to detect defects and reject faulty products automatically. This article deals with autonomous visual system for glass bottle inspection, which has to detect non-homogenous regions in ROI in images. Additional system is able to distinguish between regions belongs to defect from regions belongs to manmade patterns, so that products can be made in high quality and cost-effective way. Snag is that synthetic patterns (like a word-sign) and defects (dirt, crack etc.) have similar image characteristics, hence it is difficult to recognize between them. In order to solve mentioned task we introduce novel method based on moment invariants. Each detected non-homogenous region is wilfully modified by so called "circle degradation" algorithm in several steps. Moment invariants corresponding to modified regions are then computed and subsequently functions of these invariants are created. On the basis o

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

<a href="/cs/project/1M0567" target="_blank" >1M0567: Centrum aplikované kybernetiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

Annals of DAAAM for 2008 & Proceedings of the 19th International DAAAM Symposium

ISBN

978-3-901509-68-1

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

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Název nakladatele

DAAAM International

Místo vydání

Vienna, Austria 2008

Místo konání akce

Trnava

Datum konání akce

22. 10. 2008

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000262860100302