Automated computer-vision-based defect detection has received much attention with the
increasing surface quality assurance demands for the industrial manufacturing of flat steels …

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 …

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 …

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 …

This paper describes the designing and testing process of a vision system for strongly
reflected metal's surface defects detection. In the authors' view, an automatic inspection …

Convolutional neural methods have proven to outperform other approaches in various
computer vision tasks. In this paper we apply the deep learning technique to the domain of …

Appearance defects inspection plays a vital role in bearing quality control. Human
inspection is a traditional way to remove defective bearings, which is instable and time …

Abstract 3D printing brings new opportunities for the development of civil engineering.
Machine learning (ML) is also widely used in various fields of 3D printing. To describe the …

Ceramic and tile industries should indispensably include a grading stage to quantify the
quality of products. Actually, human control systems are often used for grading purposes. An …

Steel defect detection is used to detect defects on the surface of the steel and to improve the
quality of the steel surface. However, traditional image detection algorithms cannot meet the …