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Real-Time Instance Segmentation of Metal Screw Defects Based on Deep Learning Approach Cover

Real-Time Instance Segmentation of Metal Screw Defects Based on Deep Learning Approach

Measurement Science Review
Volume 22 (2022): Issue 3 (June 2022)
By: Wei-Yu Chen,  Yu-Reng Tsao,  Jin-Yi Lai,  Ching-Jung Hung,  Yu-Cheng Liu and  Cheng-Yang Liu  
Open Access
|Apr 2022
DOI: https://doi.org/10.2478/msr-2022-0014 | Journal eISSN: 1335-8871
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Language: English
Page range: 107 - 111
Submitted on: Dec 14, 2021
|
Accepted on: Feb 28, 2022
|
Published on: Apr 22, 2022
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Defect inspection,
metal screw,
deep learning,
convolutional neural network
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2022 Wei-Yu Chen, Yu-Reng Tsao, Jin-Yi Lai, Ching-Jung Hung, Yu-Cheng Liu, Cheng-Yang Liu, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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