Automatic defect recognition in x-ray testing using computer vision

D Mery, C Arteta - 2017 IEEE winter conference on applications …, 2017 - ieeexplore.ieee.org
To ensure safety in the construction of important metallic components for roadworthiness, it
is necessary to check every component thoroughly using non-destructive testing. In last …

[KNIHA][B] Computer vision for X-Ray testing

D Mery, C Pieringer - 2021 - Springer
Since Röntgen discovered in 1895 [90] that X-rays can be used to identify inner structures, X-
rays have been developed not only for their use in medical imaging for human beings, but …

Aluminum casting inspection using deep learning: a method based on convolutional neural networks

D Mery - Journal of Nondestructive Evaluation, 2020 - Springer
Castings produced for the automotive industry are considered important components for
overall roadworthiness. To ensure the safety of construction, it is necessary to check every …

Defect detection and classification by training a generic convolutional neural network encoder

X Dong, CJ Taylor, TF Cootes - IEEE Transactions on Signal …, 2020 - ieeexplore.ieee.org
Non-destructive Testing (NDT) often involves analysing images to identify (rare) defects. We
propose a method for locating and classifying abnormalities using Convolutional Neural …

Aluminum casting inspection using deep object detection methods and simulated ellipsoidal defects

D Mery - Machine Vision and Applications, 2021 - Springer
In the automotive industry, light-alloy aluminum castings are an important element for
determining roadworthiness. X-ray testing with computer vision is used during automated …

[KNIHA][B] Encyclopedia of Aluminum and its Alloys

GE Totten, M Tiryakioglu, O Kessler - 2018 - api.taylorfrancis.com
This encyclopedia, written by authoritative experts under the guidance of an international
panel of key researchers from academia, national laboratories, and industry, is a …

Small defect detection using convolutional neural network features and random forests

X Dong, CJ Taylor, TF Cootes - Proceedings of the …, 2018 - openaccess.thecvf.com
We address the problem of identifying small abnormalities in an imaged region, important in
applications such as industrial inspection. The goal is to label the pixels corresponding to a …

Defect detection of aluminum alloy wheels in radiography images using adaptive threshold and morphological reconstruction

J Zhang, Z Guo, T Jiao, M Wang - Applied Sciences, 2018 - mdpi.com
In low-pressure casting, aluminum alloy wheels are prone to internal defects such as gas
holes and shrinkage cavities, which call for X-ray inspection to ensure quality. Automatic …

Approach for automatic defect detection in aluminum casting X-Ray images using deep learning and gain-adaptive multi-scale retinex

C Hai, Y Wu, H Zhang, F Meng, D Tan… - Journal of Nondestructive …, 2024 - Springer
Nondestructive testing (NDT) plays a vital role in the production and quality control of the
casting process. Due to the complexity of inspection procedures and the extensive scale of …

Semi-supervised auxiliary learning for surface defect detection and segmentation of injection-molded products from small image datasets

Z Yu, Y Zhang, S Zhang, G Yi, L Qiu - The International Journal of …, 2024 - Springer
Accurate detection of injection molding defects plays a crucial role in effective quality control
of injection-molded products. This paper presents a U-Net training strategy, namely Semi …