The framework which integrates a nonparametric model into Conditional Random Fields (CRFs) is built for interactive segmentation problems. Multiple region layers are used...
Abstract:
In this paper, we present a novel framework for interactive segmentation problems. It integrates a nonparametric model into the Conditional Random Field (CRF) framework, ...Show MoreMetadata
Abstract:
In this paper, we present a novel framework for interactive segmentation problems. It integrates a nonparametric model into the Conditional Random Field (CRF) framework, which can effectively combine high-level features with low-level features to represent image information. In the nonparametric model, multiple region layers are used to estimate data likelihood terms to overcome the bad regions generated by unsupervised methods. The likelihood values of each layer are calculated separately to reduce the computational cost. In addition, we analyze that the pixel layer has little effect on data estimation, so we remove it to further reduce the complexity of the algorithm. We employ the label consistency between pixels and their corresponding regions in smooth term estimation, which can be regard as a higher order potential for pixels. The data term and the smooth term are then performed together in Conditional Random Fields (CRFs) as a fine-tuning of the results. Experimental results show that the proposed method can segment images efficiently and accurately with fewer user inputs.
The framework which integrates a nonparametric model into Conditional Random Fields (CRFs) is built for interactive segmentation problems. Multiple region layers are used...
Published in: IEEE Access ( Volume: 7)
Funding Agency:
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Dan Wang received the master’s degree in mechanical engineering from Xiamen University, Xiamen. She is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. Her research interests include computer vision, and developing automated control systems based on image understanding and researching the machine vision-based mechanical automated processing and inspection syst...Show More
Dan Wang received the master’s degree in mechanical engineering from Xiamen University, Xiamen. She is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. Her research interests include computer vision, and developing automated control systems based on image understanding and researching the machine vision-based mechanical automated processing and inspection syst...View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Guoqing Hu received the M.S. degree from Northwestern Polytechnical University, China, and the Ph.D. degree from Sichuan University, China.
He was a Professor with Xiamen University, China. He was an Advanced Visiting Scholar with The Chinese University of Hong Kong and the University of Nottingham. He is currently a Professor and a Ph.D. Student Supervisor with the School of Mechanical and Automotive Engineering, South Ch...Show More
Guoqing Hu received the M.S. degree from Northwestern Polytechnical University, China, and the Ph.D. degree from Sichuan University, China.
He was a Professor with Xiamen University, China. He was an Advanced Visiting Scholar with The Chinese University of Hong Kong and the University of Nottingham. He is currently a Professor and a Ph.D. Student Supervisor with the School of Mechanical and Automotive Engineering, South Ch...View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Qianbo Liu received the M.S. degree from the South China University of Technology, China, in 2004, where he is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering. His research interests include visual tracking, deep learning, and object detection.
Qianbo Liu received the M.S. degree from the South China University of Technology, China, in 2004, where he is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering. His research interests include visual tracking, deep learning, and object detection.View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Chengzhi Lyu received the B.E. degree in electromechanical engineering from the Hubei University of Technology, Wuhan, Hubei, in 2013. He is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. His research interests include artificial intelligent algorithms and machine automation.
Chengzhi Lyu received the B.E. degree in electromechanical engineering from the Hubei University of Technology, Wuhan, Hubei, in 2013. He is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. His research interests include artificial intelligent algorithms and machine automation.View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Md Mojahidul Islam received the B.Sc. and M.Sc. degrees in computer science and engineering from Islamic University, Bangladesh. He is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering, South China University of Technology, China. From 2010 to 2015, he was an Assistant Professor with the Department of Computer Science and Engineering, Islamic University, Bangladesh. His research ...Show More
Md Mojahidul Islam received the B.Sc. and M.Sc. degrees in computer science and engineering from Islamic University, Bangladesh. He is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering, South China University of Technology, China. From 2010 to 2015, he was an Assistant Professor with the Department of Computer Science and Engineering, Islamic University, Bangladesh. His research ...View more
Contents School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Dan Wang received the master’s degree in mechanical engineering from Xiamen University, Xiamen. She is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. Her research interests include computer vision, and developing automated control systems based on image understanding and researching the machine vision-based mechanical automated processing and inspection systems.
Dan Wang received the master’s degree in mechanical engineering from Xiamen University, Xiamen. She is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. Her research interests include computer vision, and developing automated control systems based on image understanding and researching the machine vision-based mechanical automated processing and inspection systems.View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Guoqing Hu received the M.S. degree from Northwestern Polytechnical University, China, and the Ph.D. degree from Sichuan University, China.
He was a Professor with Xiamen University, China. He was an Advanced Visiting Scholar with The Chinese University of Hong Kong and the University of Nottingham. He is currently a Professor and a Ph.D. Student Supervisor with the School of Mechanical and Automotive Engineering, South China University of Technology, China. He completed and participated in more than 90 projects including the National 863 project, the National Natural Science Foundation Project, the National Major Projects, International Cooperation Projects, Provincial Key Projects, and the Province Fund Cooperation Projects. He was published 248 papers, 22 patents and two textbooks. His research interests include amphibious flying machine, intelligent robot, industrial image processing, automation and industrial robot, electromechanical integration, and advanced sensor technology.
Guoqing Hu received the M.S. degree from Northwestern Polytechnical University, China, and the Ph.D. degree from Sichuan University, China.
He was a Professor with Xiamen University, China. He was an Advanced Visiting Scholar with The Chinese University of Hong Kong and the University of Nottingham. He is currently a Professor and a Ph.D. Student Supervisor with the School of Mechanical and Automotive Engineering, South China University of Technology, China. He completed and participated in more than 90 projects including the National 863 project, the National Natural Science Foundation Project, the National Major Projects, International Cooperation Projects, Provincial Key Projects, and the Province Fund Cooperation Projects. He was published 248 papers, 22 patents and two textbooks. His research interests include amphibious flying machine, intelligent robot, industrial image processing, automation and industrial robot, electromechanical integration, and advanced sensor technology.View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Qianbo Liu received the M.S. degree from the South China University of Technology, China, in 2004, where he is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering. His research interests include visual tracking, deep learning, and object detection.
Qianbo Liu received the M.S. degree from the South China University of Technology, China, in 2004, where he is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering. His research interests include visual tracking, deep learning, and object detection.View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Chengzhi Lyu received the B.E. degree in electromechanical engineering from the Hubei University of Technology, Wuhan, Hubei, in 2013. He is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. His research interests include artificial intelligent algorithms and machine automation.
Chengzhi Lyu received the B.E. degree in electromechanical engineering from the Hubei University of Technology, Wuhan, Hubei, in 2013. He is currently pursuing the Ph.D. degree with the South China University of Technology, Guangzhou, Guangdong, China. His research interests include artificial intelligent algorithms and machine automation.View more
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China
Md Mojahidul Islam received the B.Sc. and M.Sc. degrees in computer science and engineering from Islamic University, Bangladesh. He is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering, South China University of Technology, China. From 2010 to 2015, he was an Assistant Professor with the Department of Computer Science and Engineering, Islamic University, Bangladesh. His research interests include computer vision, object tracking, pattern recognition, multimedia analysis, and machine learning.
Md Mojahidul Islam received the B.Sc. and M.Sc. degrees in computer science and engineering from Islamic University, Bangladesh. He is currently pursuing the Ph.D. degree with the School of Mechanical and Automotive Engineering, South China University of Technology, China. From 2010 to 2015, he was an Assistant Professor with the Department of Computer Science and Engineering, Islamic University, Bangladesh. His research interests include computer vision, object tracking, pattern recognition, multimedia analysis, and machine learning.View more