Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

Abstract The National Research University Higher School of Economics launched its HPC
cluster and created a new division named the Supercomputer Simulation Unit. Now the …

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 …

It is important to accurately classify the defects in hot rolled steel strip since the detection of
defects in hot rolled steel strip is closely related to the quality of the final product. The lack of …

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 surface defects' region of strip steel is small, and has various defect types and, complex
gray structures. There tend to be a large number of false defects and edge light interference …

Steel defect diagnostics is important for industry task as it is tied to the product quality and
production efficiency. The aim of this paper is evaluating the application of residual neural …

Computer vision and image processing techniques have been extensively used in various
fields and a wide range of applications, as well as recently in surface treatment to determine …

In this study, a convolutional neural network (CNN)-based deep learning was applied to
evaluate settlement of the ground. Firstly, the database of 1200 images was captured and …

Steel is one of the most important building materials of our time, and the process of
producing flat plates is complex. Before steel is shipped or delivered, the sheets must …