지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.2
- 수록면
- 189 - 199 (11page)
- DOI
- 10.9717/kmms.2024.27.2.189
이용수
초록· 키워드
오류제보하기
With the recent increase in demand for steel products, the need for high-quality steel has intensified. Cold-rolled steel strip often exhibit various surface defects due to numerous roll pressing processes. Some of these surface defects can lead to critical issues in steel product manufacturing. Thus, developing a high-performance model for classifying steel sheet defects is crucial for producing and maintaining high-quality metal products. In this paper, we propose a data augmentation model using Generative Adversarial Networks (GANs) to generate images of defects for classes with insufficient data. Additionally, we introduce a pre-processing method designed to minimize the loss of defect information when resizing images. Our experimental results demonstrate that applying the proposed method significantly improves performance, evidenced by an increase of up to 6% in the classification F1-score.
목차
ABSTRACT
1. 서론
2. 관련연구
3. 제안한 방법
4. 실험 결과 및 고찰
5. 토의 및 결론
REFERENCE
참고문헌 (23)
참고문헌 신청
W. Choi, Y. Kim, J. Jo, D. Lee, S. Kim, S. Park, et al., “Steel Surface Defect Classification Using ResNet50,” Journal of The Korea Information Science Association, Vol. 49, No. 1, pp. 694-696, 2021.
I.P. Mazur, “Monitoring The Surface Quality in Sheet Rolling,” Steel in Translation, Vol. 41, No. 4, pp. 326-331, 2011.
S. Niu, B. Li, and H. Lin, “Defect Image Sample Generation with GAN for Improving Defect Recognition,” IEEE Transactions on Automation Science and Engineering, Vol. 17, No. 3, pp. 1161-1622, 2020.
Z.J. Xu, Z. Zheng, and X.Q. Gao, “Operation Optimization of The Steel Manufacturing Process: A Brief Review,” International Journal of Minerals, Metallurgy and Materials, Vol. 28, pp. No. 1, pp. 1274-1287, 2021.
S. Song, K. Chang, K. Yun, and J. Baek, “Defect Synthesis Using Latent Mapping Adversarial Network for Automated Visual Inspection,” Electronics, Vol. 11, No. 17, pp. 2763-2775, 2022.
I.P. Mazur, “Monitoring The Surface Quality in Sheet Rolling,” Steel in Translation, Vol. 41, No. 4, pp. 326-331, 2011.
S. Niu, B. Li, and H. Lin, “Defect Image Sample Generation with GAN for Improving Defect Recognition,” IEEE Transactions on Automation Science and Engineering, Vol. 17, No. 3, pp. 1161-1622, 2020.
Z.J. Xu, Z. Zheng, and X.Q. Gao, “Operation Optimization of The Steel Manufacturing Process: A Brief Review,” International Journal of Minerals, Metallurgy and Materials, Vol. 28, pp. No. 1, pp. 1274-1287, 2021.
S. Song, K. Chang, K. Yun, and J. Baek, “Defect Synthesis Using Latent Mapping Adversarial Network for Automated Visual Inspection,” Electronics, Vol. 11, No. 17, pp. 2763-2775, 2022.
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