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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： Hao, Hongxia Liu, Fang Jiao, Licheng School of Computer Science and Technology Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xi'an 710071 China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

ISBN: (纸本)9780819478092

This paper presents a strong noise image enhancement method based on intrascale dependencies of the second generation curvelet transform. Observing that the immediate four neighbor coefficients bear the most important dependencies, we use spatial clustering property of the intrascale neighbor coefficients to separate noise and signal of interest, and to deal with them differently, i.e. to suppress noise and strengthen edges. Comparing our approach with Starck's enhancement model (Starck et al., 2003), we experimentally find that for high noise level images, our method outperforms the starck's system in noise suppression and signal strengthening and produces better enhancement results. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： image enhancement

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Clonal selection algorithm based on anti-idiotype

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Ruan Jian Xue Bao/Journal of Software 2009年第5期20卷 1269-1281页

作者： Zhang, Li-Ning Gong, Mao-Guo Jiao, Li-Cheng Ma, Wen-Ping Institute of Intelligent Information Processing Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education Xidian University Xi'an 710071 China

Based on the antibody clonal selection theory of immunology, an artificial immune system algorithm, clonal selection algorithm based on anti-idiotype (AICSA), is proposed to deal with complex multi-modal optimization problems by introducing the anti-idiotype. This algorithm evolves and improves the antibody population through clonal proliferation, anti-idiotype mutation, anti-idiotype recombination and clonal selection operation, which can perform global search and local search in many directions rather than one direction around the identical antibody simultaneously. Theoretical analysis proves that AICSA can converge to the global optimum. By introducing the anti-idiotype, AICSA can make the most of the structure information of antibodies, accelerate the convergence, and obtain the global optimization quickly. In experiments, AICSA is tested on four different types of functions and compared with the clonal selection algorithm and other optimization methods. Theoretical analysis and experimental results indicate that AICSA achieves a good performance, and is also an effective and robust technique for optimization. © by Institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Antibodies

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Decoupling guaranteed cost control of BTT vehicle based on LMI

Decoupling guaranteed cost control of BTT vehicle based on L...

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IEEE International Conference on intelligent Computing and intelligent Systems (ICIS)

作者： Zhixiang Deng Yongji Wang Lei Liu Chuanfeng Li Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424447374;9781424447541

This paper presents a new approach for coupling control problems for norm bounded continuous-time uncertain systems. Firstly, a design of the state feedback decoupling controller is presented. The nominal model could be decoupled completely and the coupling of the actual system would be reduced. Secondly, based on the linear matrix inequality (LMI), combining the guaranteed cost control law with the decoupling control, the state feedback tracking guaranteed cost control law is proposed. Finally, taking BTT vehicle as the research objective, the design procedure of the decoupling guaranteed cost controllers is shown and the final results of the simulation are proved with effectiveness for the proposed design approach.

关键词： Costs Vehicles control systems Uncertain systems Robust control State feedback Linear matrix inequalities Linear feedback control systems Uncertainty Missiles

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Constrained trajectory optimization using migrant particle swarm optimization algorithm

Constrained trajectory optimization using migrant particle s...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Fuqiang Xie Yongji Wang Zongzhun Zheng Da Zhang Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

A novel PSO algorithm, the Migrant Particle Swarm Optimization (Migrant PSO), is presented to solve the trajectory optimization problem in the presence of constraints such as dynamic pressure and overload. Imitating the behaviour of a flock of migrant birds, the Migrant PSO algorithm employs stochastic search method and adaptive linear search method respectively for PSO search spaces including both continuous space and discrete space. In the example of the minimum peak heat rate reentry trajectory optimization for X-33 vehicle model with free terminal time, some key problems such as parameterized method are argued in detail. The simulation results indicate that the Migrant PSO algorithm proves to be able to generate a complete and optimal 3DOF reentry trajectory rapidly.

关键词： Constraint optimization Particle swarm optimization Stochastic processes Ant colony optimization Optimization methods Search methods Space vehicles Pressure control Birds Optimal control

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Rapid trajectory optimization based on Migrant PSO

Rapid trajectory optimization based on Migrant PSO

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IEEE International Conference on intelligent Computing and intelligent Systems (ICIS)

作者： Fuqiang Xie Yongji Wang Chuanfeng Li Dangjun Zhao Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424447374;9781424447541

This paper proposes a rapid trajectory optimization approach using a novel PSO algorithm, the Migrant particle swarm optimization (Migrant PSO). Imitating the behavior of a flock of migrant birds, the Migrant PSO algorithm employs stochastic search method and adaptive linear search method respectively for PSO search spaces including both continuous space and discrete space. In the example of the minimum control energy reentry trajectory optimization for X-33 vehicle model with free terminal time, some key problems such as parameterized method are argued in detail. The simulation results indicate that the Migrant PSO algorithm proves to be able to generate a complete and optimal 3DOF reentry trajectory rapidly.

关键词： Birds Stochastic processes Search methods Optimization methods Space technology Particle swarm optimization Vehicles Design optimization Programmable control Adaptive control

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A point-pattern matching method based on maximal subset of one-to-one mapping

A point-pattern matching method based on maximal subset of o...

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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Hu, Jing Zhang, Tian-Xu Institute for Pattern Recognition and AI Hua Zhong University of Science and Technology Wuhan 430074 China Key Lab. of Education Ministry for Image Processing and Intelligent Control Hua Zhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478078

This paper presents a new affine registration approach for planar point pattern matching. A process of parameter space clustering is implemented to confirm a one-to-one mapping between the maximal subsets of feature point sets in images. For a best performance, a coarse parameter space and a fine parameter space are used for vectors comparison. Experiments show that the method can produce positive results from a small number of feature points and intensive noise. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Affine transforms

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Adaptive Synchronization between Two Different Complex Networks with Time-Varying Delay Coupling

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Chinese Physics Letters 2009年第6期26卷 61-64页

作者：陈建芮焦李成吴建设王晓华 Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligence Information Processing Xidian University Xi'an 710071 College of Science Inner Mongolia University of Technology Inner Mongolia 010051

A new general network model for two complex networks with time-varying delay coupling is presented. Then we investigate its synchronization phenomena. The two complex networks of the model differ in dynamic nodes, the number of nodes and the coupling connections. By using adaptive controllers, a synchronization criterion is derived. Numerical examples are given to demonstrate the effectiveness of the obtained synchronization criterion. This study may widen the application range of synchronization, such as in chaotic secure communication.

关键词： gamma-ray bursts gamma-rays relativity

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Adaptive dynamic inversion robust control for BTT missile based on wavelet neural network

Adaptive dynamic inversion robust control for BTT missile ba...

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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Li, Chuanfeng Wang, Yongji Deng, Zhixiang Wu, Hao Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China Luoyang Institute of Science and Technology 90 Wangcheng Avenue Luoyang 471023 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control 1037 Luoyu Road Wuhan 430074 China

ISBN: (纸本)9780819478078

A new nonlinear control strategy incorporated the dynamic inversion method with wavelet neural networks is presented for the nonlinear coupling system of Bank-to-Turn(BTT) missile in reentry phase. The basic control law is designed by using the dynamic inversion feedback linearization method, and the online learning wavelet neural network is used to compensate the inversion error due to aerodynamic parameter errors, modeling imprecise and external disturbance in view of the time-frequency localization properties of wavelet transform. Weights adjusting laws are derived according to Lyapunov stability theory, which can guarantee the boundedness of all signals in the whole system. Furthermore, robust stability of the closed-loop system under this tracking law is proved. Finally, the six degree-of-freedom(6DOF) simulation results have shown that the attitude angles can track the anticipant command precisely under the circumstances of existing external disturbance and in the presence of parameter uncertainty. It means that the dependence on model by dynamic inversion method is reduced and the robustness of control system is enhanced by using wavelet neural network(WNN) to reconstruct inversion error on-line. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Lyapunov functions

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Skeleton-based fast path planning for UAV

Skeleton-based fast path planning for UAV

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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： Liu, Xin Zhou, Chengping 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 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

ISBN: (纸本)9780819478092

A new path planning method for UAV in static workspace is presented. The method can find a nearly optimal path in short time which satisfies the UAV kinematic constraints. The method makes use of the skeletons to construct the graph of the planning space considering the configuration of the obstacles and utilizes the graph to find a shortest collision-free path, and a novel technique is utilized to convert the free path into a feasible path. The method can be applied to different applications and easy to be implemented. Experimental results showed that the path planning can be done in a fraction of second on a contemporary workstation (2-3 seconds) under the condition of satisfying the kinematic constraints. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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image Compression with Downsampling and Overlapped Transform at Low Bit Rates

Image Compression with Downsampling and Overlapped Transform...

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International Conference on image processing

作者： Jiaji Wu Yan Xing Guangming Shi Licheng Jiao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University

ISBN: (纸本)9781424456536;9781424456543

This paper proposes an image coding method based on adaptive downsampling which not only uses the pixel redundancy but also considers visual redundancy. At the encoder side, codec adaptively chooses some smooth regions of the original image to downsample, and then overlapped transform with selectivity, block DCT and adaptive-shape DCT (SA-DCT) are used against the image after being downsampled. For the incomplete transformed image, OB-SPECK is adopted to code. At the decoder side, in order to reduce the computational complexity, we use the simple cubic interpolation which not only is very suitable to the downsampled regions but also enhances greatly the real time of this coding system. Experimental results show the proposed method outperforms JPEG2000, SPECK, SPIHT, and LT+SPECK at low bit rates.

关键词： Adaptive downsampling Interpolation image compression Visual redundancy Bit rate image compression Data compression downsampling Interpolation image coding method original image Transform

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