The computer-vision-based surface defect detection of metal planar materials is a research
hotspot in the field of metallurgical industry. The high standard of planar surface quality in …

Defect inspection is extremely crucial to ensure the quality of steel surface. It affects not only
the subsequent production, but also the quality of the end-products. However, due to the …

With the advance in Industry 4.0, smart industrial monitoring has been proposed to timely
discover faults and defects in industrial processes. Steel is widely used in manufacturing …

The defect detection is extremely crucial to analyze the surface quality of steel products, it
not only affects the subsequent production, but also affects the corrosion and wear …

Due to the large intra-class variations and unbalanced training samples, the accuracy of
existing algorithms used in defect classification of hot rolled steels is unsatisfactory. In this …

Detecting faults in steel plates is crucial for ensuring the safety and reliability of the
structures and industrial equipment. Early detection of faults can prevent further damage and …

As three main production lines of steels, continuous casting slabs, hot rolled steel plates and
cold rolled steel strips have different surface appearances and are produced at different …

Surface defects are important factors of surface quality of industrial products. Most of the
traditional machine vision based methods for surface defect recognition have some …

In this paper, we propose a defect extraction method for magnetic tile images based on the
shearlet transform. The shearlet transform is a method of multi-scale geometric analysis …

With the resurgence of nuclear energy due to the ever-increasing demand for electricity and
carbon free power generation, ensuring safe operations at nuclear power plants (NNPs) is …