Steel surface defect detection and segmentation using deep neural networks
Defect detection is a crucial task in the manufacturing industry, particularly in steel surface inspection. While manual recognition is one of the most reliable techniques, recent advances in computer vision and machine learning have led to the development of automatic defect detection techniques. T...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
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Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302500060X |
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