Image Processing Based Classification of Enzymatic Browning in Chopped Apples
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129520" target="_blank" >RIV/00216305:26220/18:PU129520 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8464181" target="_blank" >https://ieeexplore.ieee.org/document/8464181</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IWOBI.2018.8464181" target="_blank" >10.1109/IWOBI.2018.8464181</a>
Alternative languages
Result language
angličtina
Original language name
Image Processing Based Classification of Enzymatic Browning in Chopped Apples
Original language description
Apples are one of the most common fruit on the planet. It is rich in iron, fiber, antioxidants and other nutritive quality; which are incredibly important for human body and brain. The quality of an apple gets affected once they are chopped. This paper presents a non-destructive image processing based algorithm that identifies the presence of enzymatic browning in chopped apples for the determination of its nutrients loss. The proposed imperative assemblage of this image processing algorithm makes it flexible, automatic and non-destructive. The quantification of enzymatic browning in chopped apples has been obtained with high precision using this proposed imaging based method. The machine learning based on strategic selection of discriminatory statistical features of chopped apples extracted in wavelet domain makes it a novel approach. 85% of accuracy has been achieved by using machine learning based Support Vector Machine (SVM) classifier.
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
2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)
ISBN
978-1-5386-7506-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)
Place of publication
San Carlos, Costa Rica
Event location
Dubai, UAE
Event date
Aug 27, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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