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To coupe with the difficulties in the process of inspection and classification of defects in Printed Circuit Board (PCB), other researchers have proposed many methods.
A fast two-dimensional median filtering algorithm
T. Huang, G. Yang, and G. Tang · 1979
Earlier work this paper cites.
Automated inspection of printed circuit boards through machine vision
Wen Yen Wu, Mao Jiun J Wang, and Chih Ming Liu · 1996
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann Lecun, Leon Bottou, Y Bengio, and Patrick Haffner · 1998
Earlier work this paper cites.
Morphological image analysis: Principles and applications. springer
Dr. Pierre Soille · 1999
Earlier work this paper cites.
Neural Network Paradigm for Classification of Defects on PCB
Rudi Heriansyah, Syed Abdul Rahman Al-attas, and Muhammad Mun´im Ahmad Zabidi · 2003
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
Earlier work this paper cites.
Surf: Speeded up robust features
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool · 2006
Earlier work this paper cites.
Digital Image Processing Using Matlab
Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins · 2009
Earlier work this paper cites.
Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Y Bengio · 2011
Cited alongside, same era.
Detection of pcb based on digital image processing
L. I. Zheng-Ming, L. I. Hong, and Jun Sun · 2012
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2014
Cited alongside, same era.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
Cited alongside, same era.
A dataset for computer-vision-based PCB analysis
Christopher Pramerdorfer and Martin Kampel · 2015
Cited alongside, same era.
Deep convolutional neural networks for detection of rail surface defects
Shahrzad Faghih-Roohi, Hajizadeh † Siamak, Alfredo Núñez, Robert Babuska, and Bart De Schutter · 2016
Cited alongside, same era.
Automatic detection and classification of the ceramic tiles’ surface defects
Saeed Hosseinzadeh Hanzaei and Ahmad Afshar · 2016
Later among the works it cites.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng Yang Fu, and Alexander C. Berg · 2016
Later among the works it cites.
Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna · 2016
Later among the works it cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Van Der Maaten Laurens, and Kilian Q Weinberger · 2017
Later among the works it cites.
Proceedings of International Conference on Computer Vision and Image Processing
Shashi Kumar, Yuji Iwahori, and M K Bhuyan · 2017
Later among the works it cites.
Classification of surface defects on steel sheet using convolutional neural networks
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Shiyang Zhou, Youping Chen, Dailin Zhang, Jingming Xie, and Yunfei Zhou · 2017
Later among the works it cites.
Automatic visual inspection of printed circuit board for defect detection and classification
Vikas Chaudhary, Ishan R. Dave, and Kishor P. Upla · 2018
Later among the works it cites.