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Congress on Evolutionary Computation

作者： Jianhua Xiao Jin Xu Zehui Shao Congfeng Jiang Linqiang Pan Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China School of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan China

In this paper, a new genetic algorithm for solving multi-constrained optimization problems based on KS function is proposed. Firstly, utilizing the agglomeration features of KS function, all constraints of optimization problems are agglomerated to only one constraint. Then, we use genetic algorithm to solve the optimization problem after the compression of constraints. Finally, the simulation results on benchmark functions show the efficiency of our algorithm.

关键词： Genetic algorithms Constraint optimization Mathematical model Testing Operations research Mathematics Industrial engineering Optimization methods Quadratic programming Robustness

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Algorithm for the blind deconvolution of images based on neural networks

Algorithm for the blind deconvolution of images based on neu...

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5th International Symposium on Multispectral image processing and Pattern Recognition

作者： Zuo, Boxin Tian, Jinwen Zu, Li Chen, Anhong Huazhong Univ Sci & Technol Inst Recognit & Artificial Intelligence State Educ Commis Lab Image Proc & Intelligence C Wuhan 430074 Peoples R China China Univ Geol Sci Inst Comp Sci Wuhan 430074 Peoples R China Natl Def Key Lab Aerosp Intelligent Control Techn Beijing 100854 Peoples R China

ISBN: (纸本)9780819469519

An iterative blind deconvolution algorithm for degrade image is presented in this paper. The algorithm including two step, namely, the estimation of the point spread function of degrade image and the restoration using estimated point spread function. Two different Hopfield neural networks are built for realize the two steps. An iterative procedure is used to control the restoration process. The simulation results indicate that the method is effective for blind deconvolution with high convergence speed.

关键词： neural networks blind deconvolution PSF image restoration degradation model atmospheric turbulence

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Greatly enhancing the modeling accuracy for distributed parameter systems by nonlinear time/space separation

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PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 2007年第1-2期376卷 215-222页

作者： Zhang, Hai-Tao Qi, Chen-Kun Zhou, Tao Li, Han-Xiong Univ Sci & Technol China Dept Modern Phys Hefei 230026 Peoples R China Univ Sci & Technol China Nonlinear Sci Ctr Hefei 230026 Peoples R China Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China City Univ Hong Kong Dept Mfg Engn & Engn Management Hong Kong Hong Kong Peoples R China

An effective modeling method for nonlinear distributed parameter systems (DPSs) is critical for both physical system analysis and industrial engineering. In this paper, we propose a novel DPS modeling approach, in which a high-order nonlinear Volterra series is used to separate the time/space variables. With almost no additional computational complexity, the modeling accuracy is improved more than 20 times in average comparing with the traditional method. (c) 2006 Elsevier B.V. All rights reserved.

关键词： nonlinear-DPS nonlinear time/space separation modeling accuracy

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EDGE DETECTION USING SUPPORT VALUE TRANSFROM

EDGE DETECTION USING SUPPORT VALUE TRANSFROM

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： SHENG ZHENG JINWEN TIAN JIAN LIU Electronics and Information Engineering Department Huazhong University of Science and Technology W State Education Commission Key Lab for Image Processing and Intelligent Control HUST Wuhan 430074 Electronics and Information Engineering Department Huazhong University of Science and Technology W

An innovative edge detection algorithm using the support value transform is presented in this *** on the support value transform, the multi scale support value images are extracted from the *** resolution of an image is directly related to the proper scale for edge detection, and the second level support value image is used to locate the edge positions by their zero *** experiments are carried out and sharp image edges are obtained from a variety of sample *** with many other existing methods, including LoG and Canny detectors, the proposed algorithm is superior to the LOG and Roberts approach.

关键词： Edge detection mapped least squares support vector machine (mapped LS-SVM) support value transform (SVT) zero crossings

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Genetic algorithm based on anisotropic diffusion for super-resolution image restoration

Genetic algorithm based on anisotropic diffusion for super-r...

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Symposium on Remote Sensing and GIS Data processing and Applications;and Innovative Multispectral Technology and Applications

作者： Sun, Yangguang Cai, Chao Zhou, Chengping Ding, Mingyue Zhang, Songgen Huazhong Univ Sci & Technol Inst Pattern Recognit Artificial Intelligence Image Proc & Intelligent Control Key Lab Educ Min Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Coll Life Sci & Technol Wuhan 430074 Peoples R China Beijing Tsinghua R&D Ind Inst Beijing 10085 Peoples R China

ISBN: (纸本)9780819469540

The blind image restoration based on the nonlinear inverse heat diffusion equation and total variation model has been developed in the past decades. In this paper, a novel genetic algorithm by combining genetic algorithm with anisotropic diffusion technique is put forward to implement the super-resolution image restoration. In the procedure of mutation, we proposed a new genetic mutation operator based on anisotropic diffusion to guide the mutation. The solution space with the higher resolution is formed by the introduction of the new genetic mutation operator. The validity and robustness of our method was demonstrated by using aerial images.

关键词： genetic algorithm anisotropic diffusion super-resolution image restoration

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Designing of laser marking software based on VC++6.0

Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/...

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Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) 2007年第1期31卷 154-156页

作者： Deng, Zhixiang Wang, Yongji Department of Control Science and Technology Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

Designing of universal software in laser-marking industry is introduced here. This software boasts versatile functions, from basic graphic drawing to input interface for files created in AutoCAD and CorelDRAW, Graphics and images showed in the user interface, which can be transformed by such methods as aligning, filling, node adjusting, are interpolated to discrete point data and then downloaded to control laser marking machine via PCI board card to accomplish total marking process. Object oriented programming methods are used, which make this software expansive and maintainable with a friendly interface easy to operate for clients.

关键词： Glyph filling Glyph import Laser marking VC++

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Fast prostate segmentation in 3D TRUS images based on continuity constraint using an autoregressive model

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MEDICAL PHYSICS 2007年第11期34卷 4109-4125页

作者： Ding, Mingyue Chiu, Bernard Gyacskov, Igor Yuan, Xiaping Drangova, Maria Downey, Donal B. Fenster, Aaron Robarts Res Inst Imaging Res Labs London ON N6A 5K8 Canada Univ Western Ontario Grad Program Biomed Engn London ON N6A 5K8 Canada Univ Western Ontario Dept Diagnost Radiol & Nucl Med London ON N6A 5K8 Canada Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Image Proc & Intelligent Control Key Lab Educ Min Wuhan 430072 Peoples R China

In this article a new slice-based 3D prostate segmentation method based on a continuity constraint, implemented as an autoregressive (AR) model is described. In order to decrease the propagated segmentation error produced by the slice-based 3D segmentation method, a continuity constraint was imposed in the prostate segmentation algorithm. A 3D ultrasound image was segmented using the slice-based segmentation method. Then, a cross-sectional profile of the resulting contours was obtained by intersecting the 2D segmented contours with a coronal plane passing through the midpoint of the manually identified rotational axis, which is considered to be the approximate center of the prostate. On the coronal cross-sectional plane, these intersections form a set of radial lines directed from the center of the prostate. The lengths of these radial lines were smoothed using an AR model. Slice-based 3D segmentations were performed in the clockwise and in the anticlockwise directions, where clockwise and anticlockwise are defined with respect to the propagation directions on the coronal view. This resulted in two different segmentations for each 2D slice. For each pair of unmatched segments, in which the distance between the contour generated clockwise and that generated anticlockwise was greater than 4 mm, a method was used to select the optimal contour. Experiments performed using 3D prostate ultrasound images of nine patients demonstrated that the proposed method produced accurate 3D prostate boundaries without manual editing. The average distance between the proposed method and manual segmentation was 1.29 mm. The average intraobserver coefficient of variation (i.e., the standard deviation divided by the average volume) of the boundaries segmented by the proposed method was 1.6%. The average segmentation time of a 352 X 379 X 704 image on a Pentium IV 2.8 GHz PC was 10 s. (C) 2007 American Association of Physicists in Medicine.

关键词： prostate segmentation 3D ultrasound volume reslicing autoregressive (AR) model

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Stable PD and Internal Force control of Omnidirectional Wheeled Mobile Manipulators

Stable PD and Internal Force Control of Omnidirectional Whee...

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IEEE International Conference on Mechatronics and Automation

作者： Dong Xu Dongbin Zhao Jianqiang Yi Xuyue Deng Guosheng Yang Key Lab of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Institute of Advanced Control and Intelligent Information Processing College of Computer and Information Engineering Henan University Kaifeng China

Omnidirectional mobile manipulator, which is composed by a three DOF omnidirectional mobile platform and a mounted manipulator, can move in any direction at any time. By reason of the redundantly actuated mechanism, the omnidirectional motion property of the mobile platform is similar to the parallel manipulator cooperatively manipulating objects, which admits internal force doing none contribution to the motion of the platform. Thus, the internal force should be controlled to reduce energy waste. Therefore, a stable PD controller is developed first for motion control of the integrated mobile manipulator system. Then, by treating the motion induced force as disturbance, a feed forward plus PI type force controller is addressed to regulate the internal force to zero. Finally, simulation results demonstrate the validity of the proposed approach.

关键词： Force control Motion control Wheels Kinematics Manipulator dynamics Automation control systems intelligent actuators Centralized control Mechatronics

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New intra prediction mode for interlaced video in AVS

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Gaojishu Tongxin/Chinese High Technology Letters 2007年第3期17卷 221-225页

作者： Chen, Liang Tan, Yihua Tian, Jinwen State Key Laboratory of Education Ministry for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

The technologies of intra prediction and MBAFF were introduced, and a new intra prediction mode based on the characteristics of spatial distribution in interlaced video was proposed. The spatial correlation of five luma intra prediction modes in AVS-P2 and the new mode were analyzed. From the analysis result, it can be concluded that the new mode can exploit the spatial correlation better and predict the samples more precisely than the existed ones. The experimental results showed that the average gain in peak signal to noise ratio was above 0.12dB and the average reduction in bit-rate was above 1.77%, so the proposed mode is an effective prediction mode for improvement of coding performance.

关键词： AVS Interlaced video Intra prediction Video coding

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Adaptively wavelet-based image denoising algorithm with edge preserving

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Chinese Optics Letters 2006年第2期4卷 80-83页

作者：谭毅华田金文柳健 State Key Laboratory of Education Ministry for Image Processing and Intelligent Control

A new wavelet-based image denoising algorithm, which exploits the edge information hidden in the corrupted image, is presented. Firstly, a canny-like edge detector identifies the edges in each subband. Secondly, multiplying the wavelet coefficients in neighboring scales is implemented to suppress the noise while magnifying the edge information, and the result is utilized to exclude the fake edges. The isolated edge pixel is also identified as noise. Unlike the thresholding method, after that we use local window filter in the wavelet domain to remove noise in which the variance estimation is elaborated to utilize the edge intbrmation. This method is adaptive to local image details, and can achieve bet, ter performance than the methods of state of the art.

关键词： Adaptive algorithms Detectors Edge detection Information technology Noise abatement Pattern recognition Wavelet transforms

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