Computer vision on x-ray data in industrial production and security applications: A comprehensive survey

M Rafiei, J Raitoharju, A Iosifidis - Ieee Access, 2023 - ieeexplore.ieee.org
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …

Welding defects classification by weakly supervised semantic segmentation

B Zhang, X Wang, J Cui, J Wu, X Wang, Y Li, J Li… - NDT & E …, 2023 - Elsevier
Radiographic non-destructive evaluation (NDE) is an essential technique for understanding
defects in welds. These radiographs require certified workers to interpret them to identify the …

Data enhanced YOLOv8s algorithm for X-ray weld defect detection

B Ding, H Zhang, H Zhenhua… - … Testing and Evaluation, 2024 - Taylor & Francis
ABSTRACT X-ray weld images often suffer from low contrast, poor quality, and other
limitations. Additionally, due to factors such as inspection equipment and cost constraints …

An active visual monitoring method for GMAW weld surface defects based on random forest model

C Zhu, H Yuan, G Ma - Materials Research Express, 2022 - iopscience.iop.org
In the automatic manufacturing of robotic welding, real-time monitoring of weld quality is a
difficult problem. Meanwhile, due to volatilization of zinc vapor in galvanized steel and …

Melanoma Detection using Convolutional Neural Network with Transfer Learning on Dermoscopic and Macroscopic Images

J Millenia, MF Naufal… - Journal of Information …, 2022 - repository.ubaya.ac.id
Background: Melanoma is a skin cancer that develops when the melanocytes that produce
the skin colour pigment start to grow out of control and form cancer. Detecting melanoma …

Crack detection from weld bend test images using R-CNN

S Kato, T Hino, S Kume, H Nobuhara - … on P2P, Parallel, Grid, Cloud and …, 2022 - Springer
The personnel burden is an issue with the visual inspection of welding defects that occur in
bend test fragments. This study aims to construct an automatic evaluation system for welding …

Electrochemical Noise Response of Cr2Nb Powders Applying Mechanical Alloying

CG Nava-Dino, JP Flores-De los Ríos… - Crystals, 2022 - mdpi.com
Cr2Nb alloys are potential candidates for high-temperature structural materials. The
influence of different mechanical alloying parameters (milling time) and sintering processes …

Vision-based welding quality detection of steel bridge components in complex construction environments

T Hu, X Huang, Z Yang, Z Liu, J Zhao, Z Xu - Urban Lifeline, 2025 - Springer
Currently, welding quality detection remains dependent on manual operation, while the
increase in the span and intricacy of steel bridges has rendered the conventional method of …

Normal calculation of artillery cradle before the robot arm assisted ultrasonic phased array automatic detection

E Zhang, X Shen, S Wang… - Proceedings of the …, 2024 - journals.sagepub.com
This study is interested in the normal calculation of artillery cradle. When the beam axis of
ultrasonic phased array probe cannot detect the workpiece surface vertically, the detection …

[PDF][PDF] Using deep learning for automatic defect detection on a small weld x-ray image dataset

Q Zheng, X Li, P Zhu, W Ma, J Liu… - The Scientific Bulletin …, 2022 - scientificbulletin.upb.ro
The quality of welding is directly related to the performance and life of welded products. This
paper proposes an automatic defect detection method using deep learning on a small weld …