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 ...
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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...
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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 ...
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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.
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, th...
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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.
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 a...
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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 analys...
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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.
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 Pol...
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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 ...
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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.
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 n...
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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 signalprocessing. 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.
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. Addition...
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