Steel surface defect recognition: A survey
Steel surface defect recognition is an important part of industrial product surface defect
detection, which has attracted more and more attention in recent years. In the development …
detection, which has attracted more and more attention in recent years. In the development …
Recent advances in surface defect inspection of industrial products using deep learning techniques
X Zheng, S Zheng, Y Kong, J Chen - The International Journal of …, 2021 - Springer
Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …
continuously increasing quality standards of industrial manufacturing processes. Machine …
Deep CNN-based visual defect detection: Survey of current literature
In the past years, the computer vision domain has been profoundly changed by the advent of
deep learning algorithms and data science. The defect detection problem is of outmost …
deep learning algorithms and data science. The defect detection problem is of outmost …
Research progress of automated visual surface defect detection for industrial metal planar materials
X Fang, Q Luo, B Zhou, C Li, L Tian - Sensors, 2020 - mdpi.com
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 …
hotspot in the field of metallurgical industry. The high standard of planar surface quality in …
A generic semi-supervised deep learning-based approach for automated surface inspection
X Zheng, H Wang, J Chen, Y Kong, S Zheng - IEEE Access, 2020 - ieeexplore.ieee.org
Automated surface inspection (ASI) is critical to quality control in industrial manufacturing
processes. Recent advances in deep learning have produced new ASI methods that …
processes. Recent advances in deep learning have produced new ASI methods that …
A new approach for detecting and grading blistering defect of coatings using a machine vision system
Blistering is a frequent coating defect and is mostly assessed visually. In this research, a
new system including an image acquisition setup in ambient lighting, a new algorithm for …
new system including an image acquisition setup in ambient lighting, a new algorithm for …
Research on Surface Defect Detection of Strip Steel Based on Improved YOLOv7
B Lv, B Duan, Y Zhang, S Li, F Wei, S Gong, Q Ma… - Sensors, 2024 - mdpi.com
Surface defect detection of strip steel is an important guarantee for improving the production
quality of strip steel. However, due to the diverse types, scales, and texture structures of …
quality of strip steel. However, due to the diverse types, scales, and texture structures of …
An improved circular fringe fourier transform profilometry
Q Chen, M Han, Y Wang, W Chen - Sensors, 2022 - mdpi.com
Circular fringe projection profilometry (CFPP), as a branch of carrier fringe projection
profilometry, has attracted research interest in recent years. Circular fringe Fourier transform …
profilometry, has attracted research interest in recent years. Circular fringe Fourier transform …
[HTML][HTML] Evaluating parametric uncertainty using non-linear regression in fringe projection
Optical coordinate measurement systems, such as fringe projection systems, offer fast, high-
density measurements of arbitrary surface topographies. The versatility, speed and …
density measurements of arbitrary surface topographies. The versatility, speed and …
Ddpm-moco: Advancing industrial surface defect generation and detection with generative and contrastive learning
Y He, X Wang, T Shi - International Joint Conference on Artificial …, 2024 - Springer
The task of industrial detection based on deep learning often involves solving two
problems:(1) obtaining sufficient and effective data samples,(2) and using efficient and …
problems:(1) obtaining sufficient and effective data samples,(2) and using efficient and …