[HTML][HTML] A review on modern defect detection models using DCNNs–Deep convolutional neural networks
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 …
compared to traditional computer vision algorithms, in a large variety of computer vision …
[HTML][HTML] 机器视觉表面缺陷检测综述
汤勃， 孔建益， 伍世虔 - 2017 - cjig.cn
目的工业产品的表面缺陷对产品的美观度, 舒适度和使用性能等带来不良影响,
所以生产企业对产品的表面缺陷进行检测以便及时发现并加以控制. 机器视觉的检测方法可以很 …
所以生产企业对产品的表面缺陷进行检测以便及时发现并加以控制. 机器视觉的检测方法可以很 …
Modified densenet for automatic fabric defect detection with edge computing for minimizing latency
As an essential step in quality control, fabric defect detection plays an important role in the
textile manufacturing industry. The traditional manual detection method is inaccurate and …
textile manufacturing industry. The traditional manual detection method is inaccurate and …
A compact convolutional neural network for textured surface anomaly detection
Convolutional neural methods have proven to outperform other approaches in various
computer vision tasks. In this paper we apply the deep learning technique to the domain of …
computer vision tasks. In this paper we apply the deep learning technique to the domain of …
Defect detection in electronic surfaces using template-based Fourier image reconstruction
DM Tsai, CK Huang - IEEE Transactions on Components …, 2018 - ieeexplore.ieee.org
For defect detection in nonperiodical pattern images, such as printed circuit boards or
integrated circuit dies found in the electronic industry, template matching could be the only …
integrated circuit dies found in the electronic industry, template matching could be the only …
Surface defect detection in tiling Industries using digital image processing methods: Analysis and evaluation
Ceramic and tile industries should indispensably include a grading stage to quantify the
quality of products. Actually, human control systems are often used for grading purposes. An …
quality of products. Actually, human control systems are often used for grading purposes. An …
A hybrid intelligent approach to detect android botnet using smart self-adaptive learning-based PSO-SVM
M Moodi, M Ghazvini, H Moodi - Knowledge-Based Systems, 2021 - Elsevier
In recent years, extensive research has been conducted in the field of detecting Android
botnet, but most of the approaches introduced can provide a good answer to a limited …
botnet, but most of the approaches introduced can provide a good answer to a limited …
Wavelet-based defect detection in solar wafer images with inhomogeneous texture
WC Li, DM Tsai - Pattern Recognition, 2012 - Elsevier
Solar power is an attractive alternative source of electricity. Multicrystalline solar cells
dominate the market share owing to their lower manufacturing costs. The surface quality of a …
dominate the market share owing to their lower manufacturing costs. The surface quality of a …
A CAM-based weakly supervised method for surface defect inspection
Product surface defect detection is vital to ensure the quality, efficiency, and reliability of
industrial production. Deep-learning-based product surface defect inspection algorithms …
industrial production. Deep-learning-based product surface defect inspection algorithms …
Multi-resolution and noise-resistant surface defect detection approach using new version of local binary patterns
S Fekri-Ershad, F Tajeripour - Applied Artificial Intelligence, 2017 - Taylor & Francis
Visual quality inspection systems play an important role in many industrial applications. In
this respect, surface defect detection is one of the problems that have received much …
this respect, surface defect detection is one of the problems that have received much …