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[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 …
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 …
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 …
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 …
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 …
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 hybrid intelligent approach to detect android botnet using smart self-adaptive learning-based PSO-SVM
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 …
Automatic detection and classification of defective areas on metal parts by using adaptive fusion of faster R-CNN and shape from shading
Computer vision and deep learning approaches have an important role in industrial
inspection systems. Computer vision technology is essential for fast, defect-free control of …
inspection systems. Computer vision technology is essential for fast, defect-free control of …
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
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 …