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Automatic defect recognition in x-ray testing using computer vision
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 …
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 …
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 …
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
Non-destructive Testing (NDT) often involves analysing images to identify (rare) defects. We
propose a method for locating and classifying abnormalities using Convolutional Neural …
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 …
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 …
panel of key researchers from academia, national laboratories, and industry, is a …
Small defect detection using convolutional neural network features and random forests
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 …
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 …
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 …
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 …
of injection-molded products. This paper presents a U-Net training strategy, namely Semi …