[HTML][HTML] A review on modern defect detection models using DCNNs–Deep convolutional neural networks

AA Tulbure, AA Tulbure, EH Dulf - Journal of Advanced Research, 2022 - Elsevier
Background Over the last years Deep Learning has shown to yield remarkable results when
compared to traditional computer vision algorithms, in a large variety of computer vision …

Automated visual defect detection for flat steel surface: A survey

Q Luo, X Fang, L Liu, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Automated computer-vision-based defect detection has received much attention with the
increasing surface quality assurance demands for the industrial manufacturing of flat steels …

A review on recent advances in vision-based defect recognition towards industrial intelligence

Y Gao, X Li, XV Wang, L Wang, L Gao - Journal of Manufacturing Systems, 2022 - Elsevier
In modern manufacturing, vision-based defect recognition is an essential technology to
guarantee product quality, and it plays an important role in industrial intelligence. With the …

Review of vision-based defect detection research and its perspectives for printed circuit board

Y Zhou, M Yuan, J Zhang, G Ding, S Qin - Journal of Manufacturing …, 2023 - Elsevier
The quality of the printed circuit board (PCB), an essential critical connection in
contemporary electronic information goods, directly influences the efficiency and …

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 …

The application of two-level attention models in deep convolutional neural network for fine-grained image classification

T Xiao, Y Xu, K Yang, J Zhang… - Proceedings of the …, 2015 - openaccess.thecvf.com
Fine-grained classification is challenging because categories can only be discriminated by
subtle and local differences. Variances in the pose, scale or rotation usually make the …

Deep learning-based detection of aluminum casting defects and their types

IE Parlak, E Emel - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Due to its unique properties, high-pressure aluminum die-casting parts are used quite often,
especially in the automotive industry. However, die-casting is a process which requires non …

[图书][B] Computer and machine vision: theory, algorithms, practicalities

ER Davies - 2012 - books.google.com
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

Automated visual inspection in the semiconductor industry: A survey

SH Huang, YC Pan - Computers in industry, 2015 - Elsevier
Automated visual inspection is an image-processing technique for quality control and
production line automation. This paper reviews various optical inspection approaches in the …

Review of surface defect detection of steel products based on machine vision

B Tang, L Chen, W Sun, Z Lin - IET Image Processing, 2023 - Wiley Online Library
Steel plays an important role in industry, and the surface defect detection for steel products
based on machine vision has been widely used during the last two decades. This paper …