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检索条件"机构=Key Lab. for Image Processing and Intelligent Control"
184 条 记 录,以下是141-150 订阅
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Path planning using FMM with direction and curvature constrained
Path planning using FMM with direction and curvature constra...
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MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on Multispectral image processing and Pattern Recognition
作者: Li, Shidong Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China Hubei University for Nationalities Enshi Hubei 445000 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China
It is difficult to meet both direction and curvature constraints for traditional Fast Marching (FM) method in path planning. Based on adjusting the cost function in Eiknoal equation-the control equation for FM, a new ... 详细信息
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A novel path planning method based on path network
A novel path planning method based on path network
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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and Pattern Recognition
作者: Li, Shidong Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China Hubei University for Nationalities Enshi Hubei 445000 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China
Traditional path planning methods are too slow to meet the real-time requirement in practical applications. In order to solve this problem, an idea of path net was proposed in this paper. The path planning procedure i... 详细信息
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Multiobjective social evolutionary algorithm based on multi-agent
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Ruan Jian Xue Bao/Journal of Software 2009年 第7期20卷 1703-1713页
作者: Pan, Xiao-Ying Liu, Fang Jiao, Li-Cheng Key Lab. of Intelligent Perception and Image Understanding of the Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China School of Computer Science and Engineering Xidian University Xi'an 710071 China
In this paper, a multi-agent social evolutionary algorithm is proposed for multiobjective optimization problems. It completes the search process by the agent evolution. MOMASEA (multi-agent social evolutionary algorit... 详细信息
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Sliding Mode Tracking for Actuators Comprising Pneumatic Muscle and Torsion Spring
Sliding Mode Tracking for Actuators Comprising Pneumatic Mus...
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2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)
作者: Kexin Xing Jian Huang Yongji Wang Jiping He Qi Xu Jun Wu Key Lab.of Image Processing and Intelligent Control Department of Control Science and TechnologyHuazhong University of Science and TechnologyWuhanChina
In this study, the sliding mode approach is applied to the tracking control problem of a planar arm manipulator system driven by a new type of actuator, which comprises a pneumatic muscle (PM) and a torsion spring. Un... 详细信息
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Study of Double SMO Algorithm Based on Attributes Reduction
Study of Double SMO Algorithm Based on Attributes Reduction
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6th International Symposium on Neural Networks
作者: Chen, Chen Hong, Liu Song, Haigang Chen, Xueguang Hou, TieMin Huazhong Univ Sci & Technol Inst Syst Engn Wuhan 430074 Peoples R China Bas Res Serv Ministry Sci Beijing 100862 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Processing & Intelligent Control Wuhan 430074 Peoples R China
To solve the classification problem in data mining, this paper proposes double SMO algorithm based on attributes reduction. Firstly attributes reduction deletes irrelevant attributes (or dimensions) to reduce data amo... 详细信息
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Variational Bayesian framework for estimating parameters of integrated E/MEG and fMRI model
Variational Bayesian framework for estimating parameters of ...
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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
作者: Babajani-Feremi, Abbas Bowyer, Susan Moran, John Elisevich, Kost Soltanian-Zadeh, Hamid Image Analysis Lab. Radiology Department Henry Ford Hospital Detroit MI 48202 United States Neuromagnetism Lab. Neurology Department Henry Ford Hospital Detroit MI 48202 United States Department of Neurology Henry Ford Hospital Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran 14395-515 Iran
The integrated analysis of the Electroencephalography (EEG), Magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) are instrumental for functional neuroimaging of the brain. A bottom-up integr... 详细信息
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Multi-area integrated E/MEG and fMRI modeling
Multi-area integrated E/MEG and fMRI modeling
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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
作者: Babajani-Feremi, Abbas Bowyer, Susan Moran, John Elisevich, Kost Podell, Kenneth Soltanian-Zadeh, Hamid Image Analysis Lab. Radiology Department Henry Ford Hospital Detroit MI 48202 United States Neuromagnetism Lab. Neurology Department Henry Ford Hospital Detroit MI 48202 United States Department of Neurology Henry Ford Hospital Detroit MI 48202 United States Division of Neuropsychology and Sports Concussion Safety Program Henry Ford Hospital Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran 14395-515 Iran
Functional magnetic resonance imaging (fMRI) has complementary spatiotemporal resolution compared to Electroencephalography (EEG) as well as Magnetoencephalography (MEG). Thus, their integrated analysis should improve... 详细信息
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The depth information estimation of microscope defocus image based-on Markov random field
The depth information estimation of microscope defocus image...
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2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008
作者: Zeng, Xiangjin Huang, Xinhan Wang, Min Peng Li Department of Control Science and Engineering Key Lab. of Image Processing and Intelligence Control HUST Wuhan China
For depth information estimation of microscope defocus image, a blur parameter model of defocus image based on Markov random field has been present. It converts problem of depth estimation into optimization problem. A... 详细信息
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SAR image despeckling based on edge detection and nonsubsampled second generation bandelets
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Journal of Systems Engineering and Electronics 2009年 第3期000卷
作者: Zhang Wenge Liu Fang Jiao Licheng Gao Xinbo School of Computer Science and Technology Xidian Univ. Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 P. R. China Inst. of Intelligent Information Processing Xidian Univ. Xi'an 710071 P. R. China
To preserve the sharp features and details of the synthetic aperture radar (SAR) image effectively when despeckling, a despeckling algorithm with edge detection in nonsubsampled second generation bandelet transform (N... 详细信息
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DIRECTIONAL CLASSIFICATION OF CORTICAL SIGNALS USING A LIQUID STATE MACHINE
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IFAC Proceedings Volumes 2008年 第2期41卷 9596-9600页
作者: Jiangshuai Huang Huijuan Fang Yongji Wang Key Lab. for Image Processing & Intelligent Control of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China
Liquid State Machine (LSM) is a newly developed computational model with many interesting properties. It has great advantages of dealing with biologic computing when compared to the traditional computational model. In...
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