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 …

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 …

For steel surface defect recognition, feature extraction and classification are very important
steps. In this paper, multi-type statistical features and enhanced twin support vector machine …

In a complex industrial environment, it is difficult to obtain hot rolled strip steel surface defect
images. Moreover, there is a lack of effective identification methods. In response to this, this …

Recently, outstanding identification rates in image classification tasks were achieved by
convolutional neural networks (CNNs). to use such skills, selective CNNs trained on a …

During the production of steel, in view of the manufacturing engineering, transportation, and
other factors, a steel surface may produce some defects, which will endanger the service life …

Online inspection and surface characterization including 3D defect detection of surfaces
using 3D scanning and coordinate metrology data has crucial applications in today's …

Automatic defect detection on reflective surfaces is a compelling process. In particular,
detection of tiny defects is almost impossible for human eye or simple machine vision …

Printed circuit boards (PCBs) provide stable connections between electronic components.
However, defective printed circuit boards may cause the entire equipment system to …

In this paper, a surface inspection system for rails is proposed. There is a lack of commercial
systems and publications about surface inspection of rails. Therefore, the quality control …