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Article
DLF-YOLOF: an improved YOLOF-based surface defect detection for steel plate
Surface defects can affect the quality of steel plate. Many methods based on computer vision are currently applied to surface defect detection of steel plate. However, their real-time performance and object de...
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Article
Multi-class classification method for steel surface defects with feature noise
Defect classification is the key task of a steel surface defect detection system. The current defect classification algorithms have not taken the feature noise into consideration. In order to reduce the advers...
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Article
Unbalanced classification method using least squares support vector machine with sparse strategy for steel surface defects with label noise
Least squares support vector machine (LS-SVM) plays an important role in steel surface defects classification because of its high speed. However, the defect samples obtained from the real production line may b...
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Article
End-point dynamic control of basic oxygen furnace steelmaking based on improved unconstrained twin support vector regression
In order to improve the end-point hit rate of basic oxygen furnace steelmaking, a novel dynamic control model was proposed based on an improved twin support vector regression algorithm. The controlled objects ...
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Article
Multi-class classification method for strip steel surface defects based on support vector machine with adjustable hyper-sphere
Focusing on strip steel surface defects classification, a novel support vector machine with adjustable hyper-sphere (AHSVM) is formulated. Meanwhile, a new multi-class classification method is proposed. Origin...
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Article
Multi-class Classification Methods of Enhanced LS-TWSVM for Strip Steel Surface Defects
Considering strip steel surface defect samples, a muli-class classicaton method was proposed based on enhanced least squares twin support vector machines (ELS-TWSVMs) and binary tree. Firstly, pruning region s...