Editorial
Introduction to the special issue on artificial intelligence and computer vision

https://doi.org/10.1016/j.compeleceng.2020.106827Get rights and content

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Background

The integration of artificial intelligence and computer vision technologies has become a topic of increasing interest for both researchers and developers from academia and industry worldwide. It is foreseeable that artificial intelligence will be the main approach to the next generation computer vision research. The explosion of artificial intelligence algorithms and rapidly growing computational power have significantly expanded the possibility of computer vision. New challenges have also been

Papers in this special section

The papers in this special issue can be grouped into 2 main areas: Low level image processing and Pattern recognition in computer vision.

In the first paper, the authors propose the eigen-filters. The eigen-filters are extracted from the Laplacian filtering influence scale space, and the spectrum relevance eigen-filters are shown to represent different spectral filtering. Based on the extracted eigen-filters, a subtle filtering effect can be achieved by tuning a group of eigen-filter scalars.

In

Final thoughts

In conclusion, we would like thank the authors for their contributions to the special issue and all the reviewers for their careful reviews. We also appreciate the support and help from the editorial staff and the Editor-in-Chief, Manu Malek.

Huimin LU, Kyushu Institute of Technology, Japan

Huimin Lu received double M.S. degrees in Electrical Engineering from Kyushu Institute of Technology and Yangzhou University in 2011, respectively. He received a Ph.D. degree in Electrical Engineering from Kyushu Institute of Technology in 2014. From 2013 to 2016, he was a JSPS research fellow at Kyushu Institute of Technology. Currently, he is an associate professor in Kyushu Institute of Technology and an Excellent Young Researcher of Ministry

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Huimin LU, Kyushu Institute of Technology, Japan

Huimin Lu received double M.S. degrees in Electrical Engineering from Kyushu Institute of Technology and Yangzhou University in 2011, respectively. He received a Ph.D. degree in Electrical Engineering from Kyushu Institute of Technology in 2014. From 2013 to 2016, he was a JSPS research fellow at Kyushu Institute of Technology. Currently, he is an associate professor in Kyushu Institute of Technology and an Excellent Young Researcher of Ministry of Education, Culture, Sports, Science and Technology-Japan. He serves as editor or associate editor for IEEE Access, Computers & Electrical Engineering, Wireless Networks, Applied Soft Computing, etc. He is the Leading Guest Editor for Mobile Networks and Applications, Optics & Laser Technology, Multimedia Tools and Applications, IEEE Transactions on Network Science and Engineering, Pattern Recognition, etc. His research interests include artificial intelligence, machine vision, deep-sea observing, Internet of Things and robotics. He has authored or co-authored 100+ papers in peer-reviewed journals and conferences, which have received 2900+ citations, 8 ESI highly cited papers and 2 ESI hot papers. As the lead editor, he has edited 3 books and have 90K+ downloads. He has received 20+ awards and 20+ funds from the governments and associations. He is elected as the Fellow of European Alliance for Innovation (EAI) and Senior Member of The Institute of Electrical and Electronics Engineers (IEEE) in 2019.

Hu ZHU, Nanjing University of Posts and Telecommunications, China

Hu Zhu received the M.S. and Ph.D. degrees in computational mathematics and pattern recognition and intelligent systems from Huazhong University of Science and Technology, Wuhan, China, in 2009 and 2013, respectively. From 2016 to 2017, he was a senior research associate in department of electronic engineering of City University of Hong Kong. Now Dr. Zhou is an Associate Professor of College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications. He has published over 30 papers and book chapters on the first-class journals and conferences, include IEEE Transactions on Geoscience and Remote Sensing, Neurocomputing et al. His recent interests include image processing, pattern recognition and computer vision.

Limei PENG, Ajou University, Korea

Limei Peng received the M.S. and Ph.D. degrees from the Chonbuk National University, Korea, in 2006 and 2010, respectively. In 2011, she was a Research Professor with Grid Middleware Research Center, Korea Advanced Institute of Science and Technology, Korea. She was an Associate Professor with the School of Electronic and Information Engineering, Soochow University, China, for more than two years. She is currently an Assistant Professor with the Department of Industrial Engineering, Ajou University, Korea. Her research interests include optical communication networks, datacenter networks, software defined networks, and cloud computing networks.

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