Impurities Detection in Intensity Inhomogeneous Edible Bird’s Nest (EBN) Using a U-Net Deep Learning Model

Impurities Detection in Intensity Inhomogeneous Edible Bird’s Nest (EBN) Using a U-Net Deep Learning Model

As an important export, cleanliness control on edible bird’s nest (EBN) is paramount. Automatic impurities detection is in urgent need to replace manual practices. However, effective impurities detection algorithm is yet to be developed due to the unresolved inhomogeneous optical properties of EBN....

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Bibliographic Details
Main Authors: Ying-Heng Yeo, Kin-Sam Yen
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2021-04-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
edible bird’s nest
impurities detection
intensity inhomogeneity
U-net
machine vision
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/6891

Internet

https://ojs.imeti.org/index.php/IJETI/article/view/6891

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