Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization

Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization

Accurate detection of defects on steel surfaces is crucial for maintaining quality standards in steel production. This paper addresses the challenge of classifying steel sheets into distinct defect categories by presenting a robust method that leverages deep learning and advanced optimization techni...

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Bibliographic Details
Main Authors: Prabira Kumar Sethy, Laxminarayana Korada, Santi Kumari Behera, Akshay Shirole, Rajat Amat, Aziz Nanthaamornphong
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Systems and Soft Computing
Subjects:
Steel slice
Defect detection
Deep feature
Support vector machine
ResNet101
Bayesian optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2772941924000991
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