Steel plays an important role in industry, and the surface defect detection for steel products
based on machine vision has been widely used during the last two decades. This paper …

Steel is the material of choice for a large number and very diverse industrial applications.
Surface qualities along with other properties are the most important quality parameters …

Automatic recognition method for hot-rolled steel strip surface defects is important to the
steel surface inspection system. In order to improve the recognition rate, a new, simple, yet …

Abstract Small and Medium Enterprises (SMEs) and Micro, Small, and Medium Enterprises
(MSMEs) contemplate integrating machine vision with high throughput manufacturing lines …

For a typical surface automated visual inspection (AVI) instrument of planar materials, defect
classification is an indispensable part after defect detection, which acts as a crucial …

Rail surface defects are serious to the quality and safety of railroad system operation. Due to
the diversity and randomness of rail defects form, the detection of rail surface defects is a …

An automated method for detecting and classifying three classes of surface defects in rolled
metal has been developed, which allows for conducting defectoscopy with specified …

The automation and intellectualization of the manufacturing processes in the iron and steel
industry needs the strong support of inspection technologies, which play an important role in …

Since the quality of steel is of paramount importance in modern production, the defects
detection of steel surface is significantly crucial. In this field, two‐stage detection algorithms …

Different from most current studies using convolutional neural network (CNN), a deep
learning detection method for steel plate surface defects based on Transformer is …