Jewelry Stones Classification: Case Study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601FHL" target="_blank" >RIV/61988987:17610/15:A1601FHL - 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

Jewelry Stones Classification: Case Study

Popis výsledku v původním jazyce

The paper introduces a real-life industrial problem: a jewelry stones classi?cation. The stones are represented by their camera images. The goal of the contract was to evaluate stones into two (or more) speci?ed classes according to their quality. Givenrequirements include very high processing speed and success rate of the classi?cation. The goal of this paper is to publish a report of this contract and show a way how this task can be solved. In this paper we aim to usage of machine learning with respect to the image processing. We also design own learning and classi?cation algorithm and answer the question if there is a place for a new machine learning algorithm. As an output of this paper a benchmark of the proposed algorithm with 81 state-of-the-art machine learning methods is presented.

Název v anglickém jazyce

Jewelry Stones Classification: Case Study

Popis výsledku anglicky

The paper introduces a real-life industrial problem: a jewelry stones classi?cation. The stones are represented by their camera images. The goal of the contract was to evaluate stones into two (or more) speci?ed classes according to their quality. Givenrequirements include very high processing speed and success rate of the classi?cation. The goal of this paper is to publish a report of this contract and show a way how this task can be solved. In this paper we aim to usage of machine learning with respect to the image processing. We also design own learning and classi?cation algorithm and answer the question if there is a place for a new machine learning algorithm. As an output of this paper a benchmark of the proposed algorithm with 81 state-of-the-art machine learning methods is presented.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2015 Seventh International Conference of Soft Computing and Pattern Recognition (SoCPaR 2015)

ISBN

978-1-4673-9360-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

205-210

Název nakladatele

IEEE Computer Society Press

Místo vydání

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Místo konání akce

Japonsko, Fukuoka

Datum konání akce

11. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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