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

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	199-200
Number of pages	2
ISBN (Electronic)	9781665470506
DOIs	https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869272
State	Published - 2022
Event	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan Duration: 6 Jul 2022 → 8 Jul 2022

Publication series

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

Conference

Conference	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Country/Territory	Taiwan
City	Taipei
Period	6/07/22 → 8/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICCE-Taiwan55306.2022.9869272

Cite this

Farady, I., Shashank, Sarkar, M. D., Chang, W. T., & Lin, C. Y. (2022). Evaluation of Additional Augmented Images for Steel Surface Defect Detection. In Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 (pp. 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 et al. / 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. pp. 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}",

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Farady, I, Shashank, Sarkar, MD, Chang, WT & Lin, CY 2022, Evaluation of Additional Augmented Images for Steel Surface Defect Detection. in 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., pp. 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 et al.
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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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Farady I, Shashank, Sarkar MD, Chang WT, Lin CY. Evaluation of Additional Augmented Images for Steel Surface Defect Detection. In 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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