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Chinese Control Conference (CCC)

作者： Deng Zhong hua Li Xi Ye Xiaomeng The Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

According to low speed and register error big of the traditional artificial register control system based on characteristics of overseas register control system, a great deal of experiment data is sampled and used to identify the register system model, which is analyzed and recognized as a dead time system And an adjustment algorithm is designed for automatic color register control system based on smith-fuzzy PID. The numerical experiment demonstrates the scheme adopted can raise the accuracy and printing speed of the system, simplify the operation, and raise the printing quality.

关键词： Printing Three-term control Mathematical model Control system synthesis image color analysis Algorithm design and analysis Computer languages Predictive models Laboratories image processing

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Performance improved method for pixel-domain Wyner-Ziv video coding system

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2007年第10期35卷 2014-2018页

作者： Gan, Zong-Liang Qi, Li-Na Zhu, Xiu-Chang Image Processing and Image Communication Key Laboratory Nanjing University of Posts and Telecommunications Nanjing 210003 China

Distributed video coding (DVC) is a new video compression paradigm based on two key information theories: Slepi-an-Wolf and Wyner-Ziv theorems, and it has the advantage of very lightweight encoder, high compression efficiency and inbuilt robustness. In this paper, pixel-domain Wyner-Ziv video algorithm, which is a typical DVC scheme, is analyzed at first. Then a performance improved method for pixel-domain Wyner-Ziv video coding system is presented. The proposed method, without sacrificing the encoder complexity, can calculate high quality side information using bi-directional motion estimation and reconstruct decoding frames using side information by joint iteration function based on Huber-Markov random field. Simulation results show that a better visual quality and 2dB average gain of Power Signal-to-Noise Ratio (PSNR) can be achieved with the proposed method at the decoder.

关键词： Signal encoding

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A Multi-Resolution Mean Field Annealing Algorithm for Motion Estimation in Medical CT image Sequences

A Multi-Resolution Mean Field Annealing Algorithm for Motion...

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International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Cristian Grava Vasile Buzuloiu Bertrand Augereau Christine Fernandez-Maloigne Department of Electronics Faculty of Electrical Engineering and Information Technology Oradea Romania Image Processing and Analysis Laboratory Politehnica University of Bucharest Romania Signal Image Communication Laboratory University of Poitiers France

The paper describes a multi-resolution mean field annealing (MFA) algorithm to solve the motion estimation problem in medical image sequences. The proposed algorithm ensures a satisfying trade-off between precision and computational time, in other words, it ensures a good efficiency when compared to other deterministic algorithms and also stochastic ones. The results are compared in terms of precision and computational time with those of other basic algorithms, such as the basic block-matching and Horn & Schunck algorithm. The results are illustrated on CT medical image sequences.

关键词： Annealing Motion estimation Biomedical imaging Computed tomography image sequences Stochastic processes Pixel Equations image motion analysis Laboratories

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Multi-focus image Fusion Algorithm Based on Regional Firing Characteristic of Pulse Coupled Neural Networks

Multi-focus Image Fusion Algorithm Based on Regional Firing ...

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

作者： Xiaobo Qu Jingwen Yan Department of Communication Engineering Xiamen University Xiamen China Key Laboratory of Digital Signal and Image Processing of Guangdong Province Shantou University Shantou China

Multi-focus image fusion aims at overcoming imaging cameras' finite depth of field by combining information from multiple images with the same scene. In this paper, a regional firing intensity (RFI) is defined, which is based on the statistical characteristic in local window of neuron firing times when pulse coupled neural networks (PCNN) is utilized in the image fusion. A novel image fusion algorithm based on regional firing characteristic PCNN (RFC-PCNN) is proposed and RFI is considered as a determination to select the coefficients of source images. First, a multiscale decomposition on each source image is performed by discrete wavelet transform. Second, PCNN is employed to extract features of source images in wavelet domain. Thirdly, RFI is computed and used to combine the coefficients of source images. Finally, the fused coefficients are used to reconstruct the fused image by an inverse discrete wavelet transform. Experimental results show that the proposed algorithm outperforms the wavelet-based and wavelet-PCNN-based fusion algorithms.

关键词： image fusion Neural networks Discrete wavelet transforms Radiofrequency interference Cameras Layout Neurons Feature extraction Wavelet domain image reconstruction

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IHS and support value integrated approach to improve pansharpening quality of QuickBird image

IHS and support value integrated approach to improve panshar...

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MIPPR 2007: Multispectral image processing

作者： Zheng, Sheng Yang, Changeai Liu, Jian Tian, Jinwen Electronics and Information Engineering Department Huazhong University of Science and Technology Wuhan 430074 China Institute of Intelligent Vision and Image Information Best College of Electrical Engineering and Information Technology China Three Gorges University Yichang 443002 China State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469519

image fusion is an important tool in remote sensing, since many Earth observation satellites provide both high-resolution panchromatic (Pan) and low-resolution multispectral (MS) images. To date, many image fusion techniques have been developed. However, the available algorithms can hardly produce a satisfactory fusion result for IKONOS and QuickBird images. Among the existing fusion algorithms, the IHS technique is the most widely used one, and the wavelet fusion is the most frequently discussed one in recent publications because of its advantages over other fusion techniques. But the color distortion of these two techniques is often obvious. The support value fusion technique demonstrates some advantages over the conventional methods. This study presents a new fusion approach that integrates the advantages of both the IHS and the support value techniques to reduce the color distortion of QuickBird fusion results. Different QuickBird images have been fused with this new approach. Visual and statistical analyses prove that the concept of the proposed extended fast IHS (eFIHS) and support value integration is promising, and it does significantly improve the fusion quality compared to conventional IHS (eFIHS) and wavelet fusion techniques.

关键词： image fusion

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Global heuristically search algorithm for DNA encoding

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Progress in Natural Science 2007年第6期17卷 745-749页

作者： Zhang, Kai Pan, Linqiang Xu, Jin Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

A new efficient algorithm is developed to design DNA words with equal length for DNA computing. The algorithm uses a global heuristic optimizing search approach and converts constraints to a carry number to accelerate the convergence, which can generate a DNA words set satisfying some thermodynamic and combinatorial constraints. Based on the algorithm, a software for DNA words design is developed.

关键词： DNA

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Robotic dynamic target recognition and tracking based on the monocular vision

Robotic dynamic target recognition and tracking based on the...

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26th Chinese Control Conference, CCC 2007

作者： Lei, Liu Yongji, Wang Huazhong University of Science and Technology Intelligent and Complex System Laboratory Key Laboratory of Image Processing and Intelligent Control Ministry of Education

ISBN: (纸本)7900719229

Gather the information of the environment by the monocular vision. Using the H and S weight of the HSV color model, separate the target from the environment with a certain color, by a fast clustering algorithm for two-value image segmentation. Calculating the distance between the camera and target by the 3D reconstruction algorithm and sub-control strategy, and raise its veracity by laser information fusion. Furthermore, a vision servo system has been designed and utilized to achieve the robot's dynamic track. At last, some experiments were used to certification its availability.

关键词： Robot applications

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Fast Mode Decision for H.264 Video Encoder Based on MB Motion Characteristic

Fast Mode Decision for H.264 Video Encoder Based on MB Motio...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xiangwen Wang Jun Sun Yunqiang Liu Renjie Li Institute of Image Communication & Information Processing Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiaotong University Shanghai China Philips Research East Asia Shanghai China

Seven variable block sizes are adopted for inter-frame MB (macroblock) coding in H.264. This new feature achieves significant coding gain. However, the computation complexity of the mode decision is extremely high when RD (rate distortion) algorithm is used. In this paper, we propose a fast mode decision algorithm with fast coding block size selection based on MB motion characteristic for inter frames. In this algorithm, the residual_MB is first gotten through motion estimation for the MB. Then, the motion characteristic of the MB is extracted through careful analysis of the texture in the residual_MB. At last, the optimization mode for the MB is decided according to the motion characteristic. Experimental results show that the mode decision can save significantly computational complexity at cost of a little degradation of RD performance.

关键词： Motion estimation Rate-distortion Motion analysis Algorithm design and analysis Computational complexity Sun image communication Information processing Laboratories Asia

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General control horizon extension method for nonlinear model predictive control

General control horizon extension method for nonlinear model...

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作者： Zhang, Hai-Tao Li, Han-Xiong Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Department of Manufacturing Engineering and Engineering Management City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong

In the nonlinear model predictive control (NMPC) field, it is well-known that the multistep control approach is superior to the single-step approach when examining high-order nonlinear systems. In the multistep control approach, however, the online minimization of a 2-norm square objective function over a control horizon of length M always requires solving a set of complex polynomial equations, for which no definite solution exists so far. Moreover, the complex nature of the receding horizon optimization also causes additional problems to its closed-loop stability analysis. With these two serious challenges in mind, using a Volterra-Laguerre model-based NMPC for discussion, we propose a general technique to extend the control horizon with the assistance of Groebner basis, which transforms the set of complex polynomial equations to a much simpler form. We prove the closed-loop stability of the algorithm in the sense that the input and output series are both mean-square-bounded. Finally, the efficiency of this improved algorithm is examined on an industrial constant-pressure water supply system. Compared to the conventional NMPC schemes, the proposed method with the control horizon extension has shown a great potential to control a wide range of nonlinear dynamic systems. © 2007 American Chemical Society.

关键词： Nonlinear analysis

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Parameter Design Method of Stator Flux Estimation for Direct Torque Control Using ADRC

Parameter Design Method of Stator Flux Estimation for Direct...

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2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

作者： Xianglong JIANG Shuyun WAN Hui LUO Chanjuan HU Yi QIN Yubin WAN Guozhang DENG Huazhong University of Science and Technology China The Key Laboratory of Image Processing and Intelligent Control China Huang Gang Polytechnic College China

In traditional Direct Torque Control (DTC), speed regulator is widely based on conventional Proportional Integral Derivative (PID) controller, which has to depend on precise math model of the subject. However, PID cannot easily achieve swift response, small overshooting and fine speed control precision especially in low speed range. This paper introduces a nonlinear control technology-Auto Disturbance Rejection Controller (ADRC) into DTC to improve the speed adaptation capability and robustness, and a parameter design method of stator flux estimation is proposed. The simulation results prove the system has good control performance.

关键词： Design methodology Stators Torque control Three-term control Regulators PD control Pi control Proportional control Velocity control Robust control

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