Abstract:
The internal defect detection of solar cells indifferent production processes currently adopts manual visual verification on the images captured by electroluminescence or...Show MoreMetadata
Abstract:
The internal defect detection of solar cells indifferent production processes currently adopts manual visual verification on the images captured by electroluminescence or photoluminescence system. To improve the efficiency and reliability of the inspection, this article proposes a generic and automatic component-of-interest superposition graph(CISG) method. First, the solar cell inspection region is located by shape-based matching. Second, based on the properties of Fourier transform and singular value decomposition, the frequency components of the testing image are modified adaptively, and then component graphs with different local saliency are generated. According to the normalized marginal gains of energy, these component graphs are combined into a saliency map. Finally, defective regions are extracted from the saliency map using the global threshold technique. By employing various compared approaches to conduct experiments on five datasets from different production processes, the great performance of our presented method is revealed, which also implies this method outperforms the current methods.
Published in: IEEE Transactions on Industrial Electronics ( Volume: 69, Issue: 8, August 2022)
Funding Agency:
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China
R&D Center of Precision Electronic Manufacturing Technology Guangzhou, Institute of Modern Industrial Technology, Guangzhou, China
Yu Liu (Member, IEEE) received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2009.
He was a Visiting Student with the Department of Mechanical Engineering, Concordia University, Montreal, QC, Canada, from 2008 to 2009, and a Visiting Scholar with the Department of Electrical and Computer Engineering, University of Nebraska CLincoln, Lincoln, NE, USA, from 2017 to ...Show More
Yu Liu (Member, IEEE) received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2009.
He was a Visiting Student with the Department of Mechanical Engineering, Concordia University, Montreal, QC, Canada, from 2008 to 2009, and a Visiting Scholar with the Department of Electrical and Computer Engineering, University of Nebraska CLincoln, Lincoln, NE, USA, from 2017 to ...View more
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China
Jiaming Xu (Student Member, IEEE) received the M.E. degree in mechanical and electronic engineering from Guangzhou University, Guangzhou, China, in 2018. He is currently working toward the Ph.D. degree in control science and engineering with the School of Automation Science and Engineering, South China University of Technology.
His research interests include pattern recognition, computer vision, and intelligent control.
Jiaming Xu (Student Member, IEEE) received the M.E. degree in mechanical and electronic engineering from Guangzhou University, Guangzhou, China, in 2018. He is currently working toward the Ph.D. degree in control science and engineering with the School of Automation Science and Engineering, South China University of Technology.
His research interests include pattern recognition, computer vision, and intelligent control.View more
School of Computer Science, Guangdong University of Education, Guangzhou, China
Yilin Wu received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2016.
He was an Engineer with Dongfang Boiler Group Company, Ltd., Zigong, China, from 1992 to 2000. He is currently a Professor with the Department of Computer Science, Guangdong University of Education, Guangzhou. His research interests include complex systems modeling, networked control systems, vi...Show More
Yilin Wu received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2016.
He was an Engineer with Dongfang Boiler Group Company, Ltd., Zigong, China, from 1992 to 2000. He is currently a Professor with the Department of Computer Science, Guangdong University of Education, Guangzhou. His research interests include complex systems modeling, networked control systems, vi...View more
Contents School of Automation Science and Engineering, South China University of Technology, Guangzhou, China
R&D Center of Precision Electronic Manufacturing Technology Guangzhou, Institute of Modern Industrial Technology, Guangzhou, China
Yu Liu (Member, IEEE) received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2009.
He was a Visiting Student with the Department of Mechanical Engineering, Concordia University, Montreal, QC, Canada, from 2008 to 2009, and a Visiting Scholar with the Department of Electrical and Computer Engineering, University of Nebraska CLincoln, Lincoln, NE, USA, from 2017 to 2018. He is currently a Professor with the School of Automation Science and Engineering, South China University of Technology, and with the R&D Center of Precision Electronic Manufacturing Technology, Guangzhou Institute of Modern Industrial Technology, Guangzhou. His research interests include distributed parameter systems, flexible systems, robotic, adaptive learning control, and machine vision.
Yu Liu (Member, IEEE) received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2009.
He was a Visiting Student with the Department of Mechanical Engineering, Concordia University, Montreal, QC, Canada, from 2008 to 2009, and a Visiting Scholar with the Department of Electrical and Computer Engineering, University of Nebraska CLincoln, Lincoln, NE, USA, from 2017 to 2018. He is currently a Professor with the School of Automation Science and Engineering, South China University of Technology, and with the R&D Center of Precision Electronic Manufacturing Technology, Guangzhou Institute of Modern Industrial Technology, Guangzhou. His research interests include distributed parameter systems, flexible systems, robotic, adaptive learning control, and machine vision.View more
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China
Jiaming Xu (Student Member, IEEE) received the M.E. degree in mechanical and electronic engineering from Guangzhou University, Guangzhou, China, in 2018. He is currently working toward the Ph.D. degree in control science and engineering with the School of Automation Science and Engineering, South China University of Technology.
His research interests include pattern recognition, computer vision, and intelligent control.
Jiaming Xu (Student Member, IEEE) received the M.E. degree in mechanical and electronic engineering from Guangzhou University, Guangzhou, China, in 2018. He is currently working toward the Ph.D. degree in control science and engineering with the School of Automation Science and Engineering, South China University of Technology.
His research interests include pattern recognition, computer vision, and intelligent control.View more
School of Computer Science, Guangdong University of Education, Guangzhou, China
Yilin Wu received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2016.
He was an Engineer with Dongfang Boiler Group Company, Ltd., Zigong, China, from 1992 to 2000. He is currently a Professor with the Department of Computer Science, Guangdong University of Education, Guangzhou. His research interests include complex systems modeling, networked control systems, vibration control, and machine vision.
Yilin Wu received the Ph.D. degree in automatic control from the South China University of Technology, Guangzhou, China, in 2016.
He was an Engineer with Dongfang Boiler Group Company, Ltd., Zigong, China, from 1992 to 2000. He is currently a Professor with the Department of Computer Science, Guangdong University of Education, Guangzhou. His research interests include complex systems modeling, networked control systems, vibration control, and machine vision.View more
