A nondestructive automatic defect detection method with pixelwise segmentation

L Yang, J Fan, B Huo, E Li, Y Liu - Knowledge-Based Systems, 2022 - Elsevier
Defect detection is essential for the quality control and repair decision-making of various
products. Due to collisions, uneven stress, welding parameters and other factors, cracks …

[HTML][HTML] Defect detection in CT scans of cast aluminum parts: A machine vision perspective

P Fuchs, T Kröger, CS Garbe - Neurocomputing, 2021 - Elsevier
One of the many applications of X-ray computed tomography (CT) in industry is the detection
of pores, cavities and other flaws in cast metal parts. Because of its improvement on part …

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 …

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 …

X-ray Testing

D Mery, D Mery - Computer Vision for X-Ray Testing: Imaging, Systems …, 2015 - Springer
X-ray testing has been developed for the inspection of materials or objects, where the aim is
to analyze—nondestructively—those inner parts that are undetectable to the naked eye …

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 …

Automatic crack distress classification from concrete surface images using a novel deep-width network architecture

L Guo, R Li, B Jiang, X Shen - Neurocomputing, 2020 - Elsevier
The condition monitoring of concrete surface plays a significant role in civil infrastructure
management system. Crack is the main threat to concrete surface of buildings, bridges …

[BUCH][B] Encyclopedia of aluminum and its alloys, two-volume set (print)

GE Totten, M Tiryakioglu, O Kessler - 2018 - 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 …

Adaptive depth and receptive field selection network for defect semantic segmentation on castings X-rays

H Yu, X Li, K Song, E Shang, H Liu, Y Yan - NDT & E International, 2020 - Elsevier
In order to ensure the safety of important castings, the ADR (Automatic-Defect-Recognition)
system should recognize, locate, and count the area of internal defects that are undetectable …

Internal crack detection of castings: a study based on relief algorithm and Adaboost-SVM

C **, X Kong, J Chang, H Cheng, X Liu - The International Journal of …, 2020 - Springer
The internal crack defect is prone to appear in the inner part of casting products during the
production process due to the influence of casting craft and on-site environment. In order to …