Framework of feature excitation broad learning network.
Abstract:
The seed oil of Xanthoceras sorbifolium is a new kind of vegetable oil which is beneficial to the body. However, during the ripening process, if not picked properly, resu...Show MoreMetadata
Abstract:
The seed oil of Xanthoceras sorbifolium is a new kind of vegetable oil which is beneficial to the body. However, during the ripening process, if not picked properly, resulting in seed waste and economic loss. Therefore, selecting the right picking time is of great significance for improving seed yield, reducing waste of labor and capital costs, and improving economic benefits. It is very challenging to achieve real-time and accurate classification of the images in the ripening stage of Xanthoceras sorbifolium with similar color, different shapes and serious background interference. So as to extract effective fruit features and improve the classification efficiency, a broad learning image classification method based on feature excitation (BL-SENet) was proposed in this paper. Firstly, a broad learning system (BLS) was constructed to extract the fruit features based on node activation function for the input layer. Secondly, feature excitation is carried out based on SENet, and the learning weights of features extracted based on broad learning mechanism are re-calibrated to improve the accuracy of network classification. Finally, based on the feature calibration, image classification is carried out by taking full advantage of the fast broad learning system. It is tested through experiments, the training accuracy of the proposed method is 100%, and the test accuracy is more than 80%, and it is the fastest among the comparison methods (except BLS). In order to promote the development of intelligent agriculture and realize intelligent mechanical picking, it provides effective visual information.
Framework of feature excitation broad learning network.
Published in: IEEE Access ( Volume: 12)
Funding Agency:
College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian, China
Zhang Dan received the B.S. degree in automation from Shenyang Ligong University, in 2010, the M.S. degree in pattern recognition and intelligent systems from Northeastern University, in 2012, and the Ph.D. degree from Dalian Maritime University, in 2022. Since 2013, she has been a Teacher with Dalian Minzu University. Her current research interests include computer vision, image processing, and intelligent learning.
Zhang Dan received the B.S. degree in automation from Shenyang Ligong University, in 2010, the M.S. degree in pattern recognition and intelligent systems from Northeastern University, in 2012, and the Ph.D. degree from Dalian Maritime University, in 2022. Since 2013, she has been a Teacher with Dalian Minzu University. Her current research interests include computer vision, image processing, and intelligent learning.View more
School of Physical Science and Technology, Shenyang Normal University, Shenyang, China
Liu Zuchen was born in Tangshan, Hebei, China, in 1999. She received the bachelor’s degree in educational technology from the Hebei Normal University of Science and Technology, in 2017. She is currently pursuing the degree in radio physics with Shenyang Normal University.
As a post graduate student since 2021, her major courses include image processing, intelligent control, and digital signal processing. Her research inter...Show More
Liu Zuchen was born in Tangshan, Hebei, China, in 1999. She received the bachelor’s degree in educational technology from the Hebei Normal University of Science and Technology, in 2017. She is currently pursuing the degree in radio physics with Shenyang Normal University.
As a post graduate student since 2021, her major courses include image processing, intelligent control, and digital signal processing. Her research inter...View more
School of Physical Science and Technology, Shenyang Normal University, Shenyang, China
Cheng Liying was born in Hengshui, Hebei, China, in 1976. She received the B.S. degree in industrial automation from Shenyang Ligong University, Shenyang, Liaoning, China, in 1999, and the M.S. degree in pattern recognition and intelligent systems from Northeastern University, Shenyang, in 2006.
From 1999 to 2003, she was an Assistant Electrical Engineer with Shenyang Aircraft Industry Group Company Ltd. Since 2006, she ha...Show More
Cheng Liying was born in Hengshui, Hebei, China, in 1976. She received the B.S. degree in industrial automation from Shenyang Ligong University, Shenyang, Liaoning, China, in 1999, and the M.S. degree in pattern recognition and intelligent systems from Northeastern University, Shenyang, in 2006.
From 1999 to 2003, she was an Assistant Electrical Engineer with Shenyang Aircraft Industry Group Company Ltd. Since 2006, she ha...View more
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
Li Tieshan (Senior Member, IEEE) received the B.S. degree in ocean fisheries engineering from the Ocean University of China, Qingdao, China, in 1992, and the Ph.D. degree in vehicle operation engineering from Dalian Maritime University (DMU), Dalian, China, in 2005. He was a Lecturer with DMU, from 2005 to 2006, where he was an Associate Professor, from 2006 to 2011, and has been a Ph.D. Supervisor, since 2009, and a Full...Show More
Li Tieshan (Senior Member, IEEE) received the B.S. degree in ocean fisheries engineering from the Ocean University of China, Qingdao, China, in 1992, and the Ph.D. degree in vehicle operation engineering from Dalian Maritime University (DMU), Dalian, China, in 2005. He was a Lecturer with DMU, from 2005 to 2006, where he was an Associate Professor, from 2006 to 2011, and has been a Ph.D. Supervisor, since 2009, and a Full...View more
School of Physical Science and Technology, Shenyang Normal University, Shenyang, China
Contents College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian, China
Zhang Dan received the B.S. degree in automation from Shenyang Ligong University, in 2010, the M.S. degree in pattern recognition and intelligent systems from Northeastern University, in 2012, and the Ph.D. degree from Dalian Maritime University, in 2022. Since 2013, she has been a Teacher with Dalian Minzu University. Her current research interests include computer vision, image processing, and intelligent learning.
Zhang Dan received the B.S. degree in automation from Shenyang Ligong University, in 2010, the M.S. degree in pattern recognition and intelligent systems from Northeastern University, in 2012, and the Ph.D. degree from Dalian Maritime University, in 2022. Since 2013, she has been a Teacher with Dalian Minzu University. Her current research interests include computer vision, image processing, and intelligent learning.View more
School of Physical Science and Technology, Shenyang Normal University, Shenyang, China
Liu Zuchen was born in Tangshan, Hebei, China, in 1999. She received the bachelor’s degree in educational technology from the Hebei Normal University of Science and Technology, in 2017. She is currently pursuing the degree in radio physics with Shenyang Normal University.
As a post graduate student since 2021, her major courses include image processing, intelligent control, and digital signal processing. Her research interests include image processing, width learning, and machine learning.
Liu Zuchen was born in Tangshan, Hebei, China, in 1999. She received the bachelor’s degree in educational technology from the Hebei Normal University of Science and Technology, in 2017. She is currently pursuing the degree in radio physics with Shenyang Normal University.
As a post graduate student since 2021, her major courses include image processing, intelligent control, and digital signal processing. Her research interests include image processing, width learning, and machine learning.View more
School of Physical Science and Technology, Shenyang Normal University, Shenyang, China
Cheng Liying was born in Hengshui, Hebei, China, in 1976. She received the B.S. degree in industrial automation from Shenyang Ligong University, Shenyang, Liaoning, China, in 1999, and the M.S. degree in pattern recognition and intelligent systems from Northeastern University, Shenyang, in 2006.
From 1999 to 2003, she was an Assistant Electrical Engineer with Shenyang Aircraft Industry Group Company Ltd. Since 2006, she has been an Associate Professor with the School of Physical Science and Technology, Shenyang Normal University. She is the author of four books, more than 30 articles, and two invention patents. Her research interests include AI, image processing, and intelligent control.
Prof. Liying is a member of the Chinese Association for Artificial Intelligence (CAAI) and the Council Liaoning Electrical Engineering Society.
Cheng Liying was born in Hengshui, Hebei, China, in 1976. She received the B.S. degree in industrial automation from Shenyang Ligong University, Shenyang, Liaoning, China, in 1999, and the M.S. degree in pattern recognition and intelligent systems from Northeastern University, Shenyang, in 2006.
From 1999 to 2003, she was an Assistant Electrical Engineer with Shenyang Aircraft Industry Group Company Ltd. Since 2006, she has been an Associate Professor with the School of Physical Science and Technology, Shenyang Normal University. She is the author of four books, more than 30 articles, and two invention patents. Her research interests include AI, image processing, and intelligent control.
Prof. Liying is a member of the Chinese Association for Artificial Intelligence (CAAI) and the Council Liaoning Electrical Engineering Society.View more
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
Li Tieshan (Senior Member, IEEE) received the B.S. degree in ocean fisheries engineering from the Ocean University of China, Qingdao, China, in 1992, and the Ph.D. degree in vehicle operation engineering from Dalian Maritime University (DMU), Dalian, China, in 2005. He was a Lecturer with DMU, from 2005 to 2006, where he was an Associate Professor, from 2006 to 2011, and has been a Ph.D. Supervisor, since 2009, and a Full Professor, from 2011 to 2021. He has been a Full Professor in University of Electronic Science and Technology of China, Chengdu, since 2019. From 2007 to 2010, he was a Postdoctoral Scholar with the School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China. From 2008 to 2009 and from 2014 to 2015, he visited the City University of Hong Kong, Hong Kong, as a Senior Research Associate. Since 2013, he has been visiting the University of Macau, Macau, China, as a Visiting Scholar for many times. His current research interests include intelligent learning and control for nonlinear systems and multiagent systems and their applications to marine vehicle control.
Li Tieshan (Senior Member, IEEE) received the B.S. degree in ocean fisheries engineering from the Ocean University of China, Qingdao, China, in 1992, and the Ph.D. degree in vehicle operation engineering from Dalian Maritime University (DMU), Dalian, China, in 2005. He was a Lecturer with DMU, from 2005 to 2006, where he was an Associate Professor, from 2006 to 2011, and has been a Ph.D. Supervisor, since 2009, and a Full Professor, from 2011 to 2021. He has been a Full Professor in University of Electronic Science and Technology of China, Chengdu, since 2019. From 2007 to 2010, he was a Postdoctoral Scholar with the School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China. From 2008 to 2009 and from 2014 to 2015, he visited the City University of Hong Kong, Hong Kong, as a Senior Research Associate. Since 2013, he has been visiting the University of Macau, Macau, China, as a Visiting Scholar for many times. His current research interests include intelligent learning and control for nonlinear systems and multiagent systems and their applications to marine vehicle control.View more
School of Physical Science and Technology, Shenyang Normal University, Shenyang, China