An Image Recognition Approach to Classification of Jewelry Stone Defects

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F13%3AA14017TV" target="_blank" >RIV/61988987:17610/13:A14017TV - 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
An Image Recognition Approach to Classification of Jewelry Stone Defects
Original language description
This article is focused on automatic recognition of jewelery stones quality. An image recognition method is described. Relevant image characteristics are computed, which are then used to classify the stone quality. Classification is performed by an algorithm based on binary decision trees with the decision thresholds adapted from a training dataset. At the end, the time complexity as well as accuracy of the proposed algorithm is compared with more than twenty state-of-the-art machine learning algorithmsand the results are discussed.
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)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2013 Joint IFSA World Congress NAFIPS Annual Meeting (IFSA/NAFIPS)
ISBN
978-1-4799-0347-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
727-732
Publisher name
IEEE
Place of publication
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Event location
Edmonton
Event date
Jun 24, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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