Automated Visible Range Imaging Scheme to Identify Toxic Substance from Common Starchy Food
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129519" target="_blank" >RIV/00216305:26220/18:PU129519 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8480363" target="_blank" >https://ieeexplore.ieee.org/document/8480363</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CIACT.2018.8480363" target="_blank" >10.1109/CIACT.2018.8480363</a>
Alternative languages
Result language
angličtina
Original language name
Automated Visible Range Imaging Scheme to Identify Toxic Substance from Common Starchy Food
Original language description
Toxic substance like acrylamide is a carcinogenic compound which is generally formed in the starchy food item when heated or fried to high temperatures. In the proposed work, a computer vision technique is employed to ascertain the presence of the acrylamide in the fried potato chips. K-means clustering has been used to perform a colour based segmentation of chips pixels from background. Distinct features, like standard deviation and moment,extracted from multi-channels, are fed to a random forest classifier for proper discrimination between acrylamide content potato chips samples and normal potato chips samples.Performance of the developed algorithm is evaluated on the comprehensive database of 80 sample images of the fried potato chips. The accuracy to detect the acrylamide contained potato chips is 95.83% which encourage the use of the proposed algorithm in real time application.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Computational Intelligence & Communication Technology (CICT)
ISBN
978-1-5386-0886-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
2018 4th International Conference on Computational Intelligence & Communication Technology (CICT)
Place of publication
Ghaziabad, India
Event location
San Carlos
Event date
Jul 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000450112300038