Evaluation of Additional Augmented Images for Steel Surface Defect Detection

Isack Farady; Shashank; Megha Dey Sarkar; Wen Thong Chang; Chih Yang Lin

doi:10.1109/ICCE-Taiwan55306.2022.9869272

Evaluation of Additional Augmented Images for Steel Surface Defect Detection

Isack Farady, Shashank, Megha Dey Sarkar, Wen Thong Chang, Chih Yang Lin

機械工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

Surface defects are one of the major causes of the unprecedented breakdown of machinery in industrial units. Due to several limiting factors, the real-time dataset can be less. This causes implications such as data imbalance and lack of defect samples thereby not yielding desired results. In this paper, we explored an augmentation way to enhance detection accuracy by adding new additional data based on pixel domain augmentation. Through this approach, we proved that the overall accuracy of the model is improved by about 4.38 % on the NEU Steel defect dataset compared to the baseline and conventional image augmentation.

原文	???core.languages.en_GB???
主出版物標題	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	199-200
頁數	2
ISBN（電子）	9781665470506
DOIs	https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869272
出版狀態	已出版 - 2022
事件	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan 持續時間: 6 7月 2022 → 8 7月 2022

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名字	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
國家/地區	Taiwan
城市	Taipei
期間	6/07/22 → 8/07/22

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10.1109/ICCE-Taiwan55306.2022.9869272

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Farady, I., Shashank, Sarkar, M. D., Chang, W. T., & Lin, C. Y. (2022). Evaluation of Additional Augmented Images for Steel Surface Defect Detection. 於 Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 (頁 199-200). (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869272

Farady, Isack ; Shashank ; Sarkar, Megha Dey 等. / Evaluation of Additional Augmented Images for Steel Surface Defect Detection. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. 頁 199-200 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

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title = "Evaluation of Additional Augmented Images for Steel Surface Defect Detection",

abstract = "Surface defects are one of the major causes of the unprecedented breakdown of machinery in industrial units. Due to several limiting factors, the real-time dataset can be less. This causes implications such as data imbalance and lack of defect samples thereby not yielding desired results. In this paper, we explored an augmentation way to enhance detection accuracy by adding new additional data based on pixel domain augmentation. Through this approach, we proved that the overall accuracy of the model is improved by about 4.38 % on the NEU Steel defect dataset compared to the baseline and conventional image augmentation.",

author = "Isack Farady and Shashank and Sarkar, {Megha Dey} and Chang, {Wen Thong} and Lin, {Chih Yang}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 ; Conference date: 06-07-2022 Through 08-07-2022",

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series = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

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Farady, I, Shashank, Sarkar, MD, Chang, WT & Lin, CY 2022, Evaluation of Additional Augmented Images for Steel Surface Defect Detection. 於 Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Institute of Electrical and Electronics Engineers Inc., 頁 199-200, 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Taipei, Taiwan, 6/07/22. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869272

Evaluation of Additional Augmented Images for Steel Surface Defect Detection. / Farady, Isack; Shashank; Sarkar, Megha Dey 等.
Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 199-200 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

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T1 - Evaluation of Additional Augmented Images for Steel Surface Defect Detection

AU - Farady, Isack

AU - Shashank,

AU - Sarkar, Megha Dey

AU - Chang, Wen Thong

AU - Lin, Chih Yang

PY - 2022

Y1 - 2022

N2 - Surface defects are one of the major causes of the unprecedented breakdown of machinery in industrial units. Due to several limiting factors, the real-time dataset can be less. This causes implications such as data imbalance and lack of defect samples thereby not yielding desired results. In this paper, we explored an augmentation way to enhance detection accuracy by adding new additional data based on pixel domain augmentation. Through this approach, we proved that the overall accuracy of the model is improved by about 4.38 % on the NEU Steel defect dataset compared to the baseline and conventional image augmentation.

AB - Surface defects are one of the major causes of the unprecedented breakdown of machinery in industrial units. Due to several limiting factors, the real-time dataset can be less. This causes implications such as data imbalance and lack of defect samples thereby not yielding desired results. In this paper, we explored an augmentation way to enhance detection accuracy by adding new additional data based on pixel domain augmentation. Through this approach, we proved that the overall accuracy of the model is improved by about 4.38 % on the NEU Steel defect dataset compared to the baseline and conventional image augmentation.

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AN - SCOPUS:85138743557

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BT - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 6 July 2022 through 8 July 2022

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Farady I, Shashank, Sarkar MD, Chang WT, Lin CY. Evaluation of Additional Augmented Images for Steel Surface Defect Detection. 於 Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 199-200. (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). doi: 10.1109/ICCE-Taiwan55306.2022.9869272

Evaluation of Additional Augmented Images for Steel Surface Defect Detection

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