Jewelry Stones Classification: Case Study

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Jewelry Stones Classification: Case Study
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
6
Pages from-to
205-210
Publisher name
IEEE Computer Society Press
Place of publication
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Event location
Japonsko, Fukuoka
Event date
Nov 11, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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