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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Zheng, Cheng Fang, Yong Shen, Yaping Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9780769539317

The rapid development of the Web technology makes the Web mining become the focus of the current data mining, and the XML technology also becomes the standard of the data exchange on the Web. The paper introduces the Web mining technology, implements a frame of the Web mining based on the XML technology according to the advantage of XML in the data description, describes the implementation process of specific Web mining, and puts forward a promoting scheme on solving XML documents with VTD which solves the difficult mining problem on the Web caused by the most of the non-structure information. © 2009 IEEE.

关键词： XML

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Multiuser-based gray-level watermarking sharing system

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Journal of Multimedia 2009年第6期4卷 341-348页

作者： Luo, Bin Wu, Youqing Tang, Jin Lv, Wanli Gu, Wei Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei Anhui China

A novel watermarking sharing system having the ability of sharing gray-level secret images with multi-user is proposed. Multiple-based number system is used to split the secret into n meaningless shares, each share is embedded into respective cover image with controlled distortion and to be assigned to each user afterwards. The architecture of the proposed watermarking system is an open issue, which means the system is easy to be implemented according to the purposes and concerns of the users. The main feature of the proposed system is sharing a secret of gray-level image among multi-users;another application of such system is ownership verification. To reveal the secret, the necessary amount of shares has to be presented. That is, the secret can be recovered even if some shares were lost. Simulation results show that the recovered secret has robustness against a wide range of imaging processing operations. © 2009 ACADEMY PUBLISHER.

关键词： Numbering systems

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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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Effective approach to improve the solving precision of electric field integral equation

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Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics 2009年第11期31卷 2553-2555页

作者： Song, Kai-Hong Zhang, Qing-Hua Wu, Xian-Liang Key Lab. of Intelligent Computing and Signal Processing Anhui Univ. Hefei 230039 China

To improve the accuracy and efficiency for solving the EFIE (electric field integral equation) by the method of moment, a novel scheme is put forward to improve the calculation precision based on the EFIE. Firstly, the inaccurate induced current is obtained by solving the EFIE under coarse mesh grids. Secondly, the scattered magnetic field at any given point on the surface of the object is calculated by the inaccurate induced current. Finally, the accurate induced current at any given point is determined through total magnetic field. The proposed approach is applied to the case of infinitely perfectly electric conducting circular cylinder and square cylinder. The numerical results are presented to demonstrate the high precision and efficiency when the size of mesh grid is large.

关键词： Method of moments

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A novel technique of image-based camera calibration in depth-from-defocus

A novel technique of image-based camera calibration in depth...

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1st International Conference on intelligent Networks and intelligent Systems, ICINIS 2008

作者： Zhang, Quanbing Gong, Yanyan Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9780769533919

In this paper, a novel camera parameters calibration algorithm is proposed by exploiting defocus information. The proposed algorithm is based on two defocus images of the same scene obtained by changing camera's aperture numbers. Both images can be arbitrarily blurred. The blur difference between the two defocused images was estimated. Combining with imaging geometry of the thin lens, the corresponding camera parameters can be calibrated. This proposed algorithm remove the limit of calibration algorithm given by Soon-Yong Park that one of the images used in calibration must be focused. And it is valid without process of scale normalization. The calibrated parameters yield consistent results in depth estimation. Experimental results on synthetic and real images are presented to demonstrate the effectiveness of the proposed algorithm. © 2008 IEEE.

关键词： Calibration

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New algorithm of target classification in polarimetric SAR

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Journal of Systems Engineering and Electronics 2008年第2期19卷 273-279页

作者： Wang Yang Lu Jiaguo Wu Xianliang Key Lab of Intelligent Computing & Signal Processing of Ministry of Education Anhui Univ. Heifei 230039 P. R. China The 38th Research Inst. China Electronic Technology Corporation Hefei 230031 P. R. China

The different approaches used for target decomposition （TD） theory in radar polarimetry are reviewed and three main types of theorems are introduced： those based on Mueller matrix, those using an eigenvector analysis of the coherency matrix, and those employing coherent decomposition of the scattering matrix. Support vector machine （SVM）, as a novel approach in pattern recognition, has demonstrated success in many fields. A new algorithm of target classification, by combining target decomposition and the support vector machine, is proposed. To conduct the experiment, the polarimetric synthetic aperture radar （SAR） data are used. Experimental results show that it is feasible and efficient to target classification by applying target decomposition to extract scattering mechanisms, and the effects of kernel function and its parameters on the classification efficiency are significant.

关键词： polarimetric synthetic aperture radar target decomposition support vector machine target classification kernel function.

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Improving PWF method of despeckle in polarimetrie SAR image by fusion based on nonsubsampled contourlet transform

Improving PWF method of despeckle in polarimetrie SAR image ...

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2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008

作者： Zhang, De-Xiang Wu, Xiao-Pei Gao, Qing-Wei Guo, Xiao-Jing The Key Lab. of Intelligent Computing and Signal Processing of Anhui University Hefei China The Institute of Electronic Science Technology of Anhui University Hefei China

ISBN: (纸本)9780769535630

A novel and efficient improving PWF method of speckle reduction in Polarimetrie SAR image by fusion based on nonsubsampled contourlet transform is proposed. First, the three complex elements (HH, HV, and W) of the Polarimetric scattering matrix were decorrelated to form a new elements matrix. Then we show that the sub-band decompositions of the three elements using nonsubsampled contourlet transform, and fusion factor is applied to the decomposed directional high-frequency coefficients to create new sub-band coefficients. Finally, we process and reconstruct multi-resolution contourlet coefficients according to the PWF method. Experimental results show that compared with PWF de-speckling algorithm, the proposed algorithm can achieve an excellent balance between suppresses speckle effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained. © 2008 IEEE.

关键词： Synthetic aperture radar

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A Permutation alignment Algorithm based on Multiple Criterions in audio signal Frequency-Domain Blind Deconvolution

A Permutation alignment Algorithm based on Multiple Criterio...

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9th International Conference on signal processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Chao Zhang Xiao-pei Wu Zhao Lv Key Lab.Of Intelligent Computing and Signal Processing Anhui University Hefei 230039P.R China

In audio signal Frequency-Domain Blind deconvolution,the conversion of signals from timedomain convolutive mixture to several instantaneous mixtures in frequency-domain may cause indeterminacies in scaling and *** on traditional permutation alignment algorithms,this paper proposes a permutation alignment algorithm based on multiple criterions.A combination of several classical criterions will be used to make a more precise permutation *** results show that algorithm based on multiple criterions achieves a better accuracy in permutation alignment and the acoustic quality of separation is improved.

关键词： Deconvolution signal processing algorithms Frequency Source separation Filters Chaos Convolution Fourier transforms Performance gain Blind source separation

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The EEG signal preprocessing based on empirical mode decomposition

The EEG signal preprocessing based on empirical mode decompo...

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2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

作者： Zhang, De-Xiang Wu, Xiao-Pei Guo, Xiao-Jing Institute of Electronic Science and Technology Anhui University Hefei 230039 China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China

ISBN: (纸本)9781424417483

The electroencephalogram (EEG) is widely used by physicians for interpretation and identification of physiological and pathological phenomena. However, the EEG signals are often corrupted by power line interferences noise and EMG induced noise. These artifacts strongly influence the utility of recorded EEGs and need to be removed for better clinical diagnosis. How to eliminate the effect of the noise is an important preprocessing problem in signal processing. In this paper, a novel and efficient power interferences reduction algorithm by the recently developed empirical mode decomposition (EMD) for the EEG signal is proposed. The principle of this method consists of decompositions of the EEG signal into a limited number of intrinsic mode function (IMF). This algorithm can effectively detect, separate and remove a wide variety of artifacts from EEG recording. Experimental results show that the proposed EMD-based algorithm is possible to achieve an excellent balance between suppresses power interference and EMG noise effectively and preserves as many target characteristics of original signal as possible.

关键词： Empirical mode decomposition

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A VQ digital watermark algorithm based on T-mixture models segmentation

A VQ digital watermark algorithm based on T-mixture models s...

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2008 IEEE International Conference Neural Networks and signal processing, ICNNSP

作者： Bin, Luo Wei, Gu Hui, Guo Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China University of New South Wales Sydney NSW 2052 Australia

ISBN: (纸本)9781424423118

To improve codebook quality in the process of vector quantization, the paper proposes a novel codebook generation algorithm which is based on image segmentation using t-mixture models and greedy EM algorithm. Additionally, in the initial codebook generating procedure, the PNN algorithm is used to reduce LBG algorithm's sensitivity to initial codebook. Experimental results show that the proposed algorithm not only significantly improves codebook quality, but also preserves most details of the original image. An even more important feature is that the proposed algorithm is robust to common image processing operations such as cropping, sharpening and filtering. © 2008 IEEE.

关键词： Image segmentation

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