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3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

作者： Bing, Wei Xiaopei, Wu Daoxin, Zhang Key Laboratory of Intelligent Computing and Signal Processing China of Anhui University Hefei Anhui Province China

ISBN: (纸本)9781424429028

This paper introduces an improved BCI system based on alpha rhythm, the main composition units of the system are electrodes, acquisition circuit, online detecting algorithm and outer devices. For improving the performance of BCT systems, a new algorithms for alpha wave detection is proposed, which can reduce EEG baseline wandering and energy fluctuation efficiently and make the BCI system work more stable. Based on the BCI system, experiments of media player control are carried out among different subjects, which show that the system has an excellent performance in alpha wave detection and real-time controlling. ©2009 IEEE.

关键词： Brain computer interface

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A Spectrum Based Algorithm for Image Classification

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电子学报(英文版) 2009年第3期18卷 427-430页

作者： WANG Nian ZHANG Jiang TANG Jun FAN Yizheng LIANG Dong Key Laboratory of Intelligent Computing and Signal Processing Anhui University Education Ministry Hefei 230039 China Hefei Teachers College Hefei 230601 China Department of Mathematics Anhui University Hefei 230039 China

In this paper, a novel algorithm for image classification is presented which uses the projective value of adjacency spectrum as classified samples. Firstly, the eigenvalues of adjacency matrices constructed on the feature point-sets of images are obtained by singular value decomposition. Secondly, the eigenvalues are projected onto the eigenspace by means of the covariance matrix. Finally, image classification is performed by adopting RBF and PNN neural networks as classifiers respectively. Meanwhile, some theoretical analyses are given to support the proposed method.

关键词：图像分类分类算法神经网络分类器矩阵特征值奇异值分解协方差矩阵射影分类特征空间

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Nonlinear dynamics in Internet congestion control model with TCP Westwood under RED

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The Journal of China Universities of Posts and Telecommunications 2009年第4期16卷 53-58页

作者： DING Da-wei ZHU Jie LUO Xiao-shu HUANG Lin-sheng HU Yan-jun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Electronic Engineering Shanghai Jiaotong University Shanghai 200240 China School of Electronic Engineering Guangxi Normal University Guilin 541004 China

This article develops a discrete time dynamic feedback model of a congestion control system for a simple network with TCP Westwood （TCPW） connections and a single bottleneck link with random early detection （RED） gateway. By using this model, the nonlinear dynamics of the TCPW/RED network are analyzed and its parameter sensitivities are studied. It is shown that periodic doubling bifurcation occurs when the RED control parameters or other parameters are varied. By theoretical analysis, the fixed point, the critical value of parameters and the nature of the bifurcation are determined. Moreover, by using bifurcation diagrams and Lyapunov exponent, the result of theoretical analysis is validated and the bifurcation and chaotic phenomena are numerically studied of the congestion control system with TCPW connections and RED gateway.

关键词： nonlinear system bifurcation chaos congestion control TCP Westwood RED

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A 5-Parameter Bundle Adjustment Method for Image Mosaic

A 5-Parameter Bundle Adjustment Method for Image Mosaic

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International Conference on Computer and Information Science (ACIS)

作者： Xianyong Fang Bin Luo Haifeng Zhao Yiwen Zhang Key Laboratory of Intelligent Computing and Signal Processing of MOE School of Computer Science and Technology Anhui University China

A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there are 5 parameters that need estimate for rotation axis, rotation angle and focal length. The proposed method minimizes the distance between feature matches in 3D space so that these 5 parameters are refined gradually for final stitching of all images together. Experimental results suggest that this method is an useful extension to existing research with the advantages of real 3D camera motion, accurate 5-parameter rotation decomposition and reliable 3D feature definition.

关键词： Image sequences Matrix decomposition Parameter estimation Cameras

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Despeckling SAR images using bayes-shrink in bandelet domain

Despeckling SAR images using bayes-shrink in bandelet domain

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2009 2nd International Congress on Image and signal processing, CISP'09

作者： Yanan, Xu Qingwei, Gao Yixiang, Lu Weinian, Zhong Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Institute of Electronic Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424441310

Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. This paper presents a despeckling method for SAR images based on adaptive bandelets thresholding. This threshold is derived in a Bayesian framework. The proposed threshold is simple and closed form, and it is applied to adaptive bandelets coefficients to achieve more satisfying results. The performances of adaptive bandelets Bayesshrink soft-thresholding and wavelet thresholding for despeckling SAR images are compared through an experiment. Experiment results clearly demonstrated the capability of the proposed scheme in SAR image speckle reduction especially for SAR images possessing detailed textures. ©2009 IEEE.

关键词： Synthetic aperture radar

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Registration of blurred images for image mosaic

Registration of blurred images for image mosaic

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11th IEEE International Conference on Computer-Aided Design and Computer Graphics(第11届IEEE国际计算机辅助设计与图形学学术会议 IEEE CAD/GRAPHICS 2009)

作者： Xianyong Fang Bin Luo Jin Tang Haifeng Zhao Biao He Hao Wu Key Lab. of Intelligent Computing and Signal Processing of MOE Anhui University Hefei China

Existing methods for the registration of blurred images are efficient for the artificially blurred images or a planar registration. They are not suitable for image mosaic of the source images from a real camera with an almost fixed optical center. We propose a registration method so that a distortion-free registration on naturally captured images can be obtained. It adopts a multi-resolution and robust feature based inter-layer mosaic together. In each layer, Harris corner detector is chosen to effectively detect features and RANSAC is used to find reliable matches for further calibration as well as an initial homography as the initial motion of next layer. Simplex and subspace trust region methods are used consequently to estimate the stable focal length and rotation matrix through the transformation property of feature matches. Experimental results demonstrate the performance of our proposed method.

关键词： Distortion measurement Shape measurement Computer graphics Sufficient conditions Solid modeling Convergence Character recognition Image analysis Pattern classification Design methodology

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Development of a human computer Interface system using EOG

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Health 2009年第1期1卷 39-46页

作者： Zhao Lv Xiao-Pei Wu Mi Li De-Xiang Zhang The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education China Anhui University The First Aeronautical College of Air-Force

Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transforms electrical po-tentials recorded by horizontal and vertical EOG into a computer in order to control external equipment. The system consists of EOG acqui-sition unit, EOG pattern recognition part and control command output unit. Three plane elec-trodes are employed to detect EOG signals, which contain the information related to the eye blinking and vertical (or horizontal) eye move-ments referred to pre-designed command table. An online signal processing algorithm is de-signed to get the command information con-tained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.

关键词： Human Computer Interface (HCI) Elec- trooculogram (EOG) Blinking Eye Movements

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Foundation of granular computing

Foundation of granular computing

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2009 International Conference on Theoretical and Mathematical Foundations of Computer Science, TMFCS 2009

作者： Zhao, Liquan Zhang, Ling Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing 210003 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Artificial Intelligence Institute Anhui University Hefei 230039 China

ISBN: (纸本)9781615676583

Granular computing which imitates the manner of human thinking is the foundation of artificial intelligence. This paper discusses some operations of granules including quotient intersection, quotient union, quotient complement and quotient difference. Then defines a knowledge space and presents it by a group of basis. Besides we introduce granule spaces and their main properties.

关键词： Granular computing

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Depth Estimation from Defocus Images Based on Oriented Heat-Flows

Depth Estimation from Defocus Images Based on Oriented Heat-...

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International Conference on Machine Vision (ICMV)

作者： Liu Hong Jia Yu Cheng Hong Wei Sui Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

The amount of blur on the defocus image depends on the depth information of the scene. So depth of the scene can be estimated by calculating the blur with the knowledge of the lens parameters. A novel depth estimation mode based on oriented heat-flows is proposed in this paper. In this model, the process of image defocusing is described using oriented heat-flows diffusion. The diffusion can be seen as the coupling of two weighted heat flows along orthonormal directions. The diffusion directions are defined by the local coherence geometry of image and the diffusion strength is the function of blur amount. Experimental results show that the model is quite effective and the emergence of artificial depth information in edge can be avoided by using this model.

关键词： Lenses Layout Focusing Computer vision Design for disassembly Cameras Frequency domain analysis Deconvolution Apertures Polynomials

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Shape Representation and Clustering Based on Laplacian Spectrum

Shape Representation and Clustering Based on Laplacian Spect...

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Congress on Image and signal processing, CISP

作者： Hong-Fei Pan Don Liang Jun Tang Nian Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

The spectrum of a graph has been widely used to characterize the properties of a graph and extract information from its structure. In this paper, we investigate the performance of Laplacian spectrum and multidimensional scaling (MDS) as shape recognition and clustering. Firstly, we extract boundary points to characterize the shape and to construct the Laplacian matrix. Secondly, the structural information about graph is described by using the eigenvalues of the Laplacian matrix. Finally, the given shapes are projected onto the low-dimensional space by performing MDS. Meanwhile, the clustering is achieved via analyzing the distribution of shapes. Comparative experiments on the public data sets demonstrate the validation of the proposed algorithm.

关键词： Laplace equations Eigenvalues and eigenfunctions Histograms Data mining Multidimensional systems Costs Feature extraction Shape measurement intelligent structures Multidimensional signal processing

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