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Search Results: 1 - 10 of 78328 matches for " Zhiwu Chen "
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Target Image Classification through Encryption Algorithm Based on the Biological Features  [PDF]
Zhiwu Chen, Qing E. Wu, Weidong Yang
International Journal of Intelligence Science (IJIS) , 2015, DOI: 10.4236/ijis.2015.51002
Abstract: In order to effectively make biological image classification and identification, this paper studies the biological owned characteristics, gives an encryption algorithm, and presents a biological classification algorithm based on the encryption process. Through studying the composition characteristics of palm, this paper uses the biological classification algorithm to carry out the classification or recognition of palm, improves the accuracy and efficiency of the existing biological classification and recognition approaches, and compares it with existing main approaches of palm classification by experiments. Experimental results show that this classification approach has the better classification effect, the faster computing speed and the higher classification rate which is improved averagely by 1.46% than those of the main classification approaches.
The Theory and Practice of Dialogue Teaching in University Political Course  [PDF]
Zhiwu Zhou
Open Journal of Social Sciences (JSS) , 2017, DOI: 10.4236/jss.2017.54017
Abstract: University political course is the main position to systemically educate undergraduates on Marxist theory. It has very important practical significance. Whereas, concerning the current situation of university political course, the teaching effectiveness has a considerable gap with its duty, which needs our introspection. From the perspective of dialogue teaching, this article discusses the theory and practice of political teaching in university.
The Influence of Nationalists to the Early Phase of Sinicization of Marxism  [PDF]
Zhiwu Zhou
Chinese Studies (ChnStd) , 2017, DOI: 10.4236/chnstd.2017.63016
Abstract: The process of spreading, developing and realizing Marxism in China is the process of combing the basic principles of Marxism with China’s actual conditions. During the early phase of localizing Marxism in China, nationalists translated and explained Marxist classic works, and then spread, analyzed and applied Marxism, making great contribution to the communication of it. Their researches and promotion of Marxism, along with the influence to intelligentsia of the time, had an impact on the sinicization of Marxism objectively.
The Current Situation of Whampoa Military Academy Site in the Patriotic Education of Contemporary College Students  [PDF]
Zhiwu Zhou
Open Journal of Social Sciences (JSS) , 2018, DOI: 10.4236/jss.2018.66018
Abstract: Whampoa Military Academy is a new type of military school founded in 1924 by Sun Yat-sen with the help of the Communist Party of China (CPC) and the Soviet Union. It is the result of the first cooperation between the Kuomintang (KMT) and the Communist Party and has a far-reaching impact on the history of Chinese revolution and military. As an important patriotism education base, the Whampoa Military Academy Site plays a crucial role for Chinese people, especially college students. The base is divided into two parts in the patriotic education for college students: one is tourism education, the other is the cooperation with universities to carry out political education. This paper mainly conducts a research, then analyzes the current situation of the Whampoa Military Academy Site in contemporary student political education, finds out the existing problems and gives some advice.
Determining Neighborhoods of Image Pixels Automatically for Adaptive Image Denoising Using Nonlinear Time Series Analysis
Zhiwu Liao,Shaoxiang Hu,Wufan Chen
Mathematical Problems in Engineering , 2010, DOI: 10.1155/2010/914564
Abstract: This paper presents a method determining neighborhoods of the image pixels automatically in adaptive denoising. The neighborhood is named stationary neighborhood (SN). In this method, the noisy image is considered as an observation of a nonlinear time series (NTS). Image denoising must recover the true state of the NTS from the observation. At first, the false neighbors (FNs) in a neighborhood for each pixel are removed according to the context. After moving the FNs, we obtain an SN, where the NTS is stationary and the real state can be estimated using the theory of stationary time series (STS). Since each SN of an image pixel consists of elements with similar context and nearby locations, the method proposed in this paper can not only adaptively find neighbors and determine size of the SN according to the characteristics of a pixel, but also be able to denoise while effectively preserving edges. Finally, in order to show the superiority of this algorithm, we compare this method with the existing universal denoising algorithms.
Image Denoising Based on Dilated Singularity Prior
Shaoxiang Hu,Zhiwu Liao,Wufan Chen
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/767613
Abstract: In order to preserve singularities in denoising, we propose a new scheme by adding dilated singularity prior to noisy images. The singularities are detected by canny operator firstly and then dilated using mathematical morphology for finding pixels “near” singularities instead of “on” singularities. The denoising results for pixels near singularities are obtained by nonlocal means in spatial domain to preserve singularities while the denoising results for pixels in smooth regions are obtained by EM algorithm constrained by a mask formed by downsampled spatial image with dilated singularity prior to suiting the sizes of the subbands of wavelets. The final denoised results are got by combining the above two results. Experimental results show that the scheme can preserve singularity well with relatively high PSNR and good visual quality.
Sinogram Restoration for Low-Dosed X-Ray Computed Tomography Using Fractional-Order Perona-Malik Diffusion
Shaoxiang Hu,Zhiwu Liao,Wufan Chen
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/391050
Abstract: Existing integer-order Nonlinear Anisotropic Diffusion (NAD) used in noise suppressing will produce undesirable staircase effect or speckle effect. In this paper, we propose a new scheme, named Fractal-order Perona-Malik Diffusion (FPMD), which replaces the integer-order derivative of the Perona-Malik (PM) Diffusion with the fractional-order derivative using G-L fractional derivative. FPMD, which is a interpolation between integer-order Nonlinear Anisotropic Diffusion (NAD) and fourth-order partial differential equations, provides a more flexible way to balance the noise reducing and anatomical details preserving. Smoothing results for phantoms and real sinograms show that FPMD with suitable parameters can suppress the staircase effects and speckle effects efficiently. In addition, FPMD also has a good performance in visual quality and root mean square errors (RMSE).
Reducing Noises and Artifacts Simultaneously of Low-Dosed X-Ray Computed Tomography Using Bilateral Filter Weighted by Gaussian Filtered Sinogram
Shaoxiang Hu,Zhiwu Liao,Wufan Chen
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/138581
Abstract: Existing sinogram restoration methods cannot handle noises and nonstationary artifacts simultaneously. Although bilateral filter provides an efficient way to preserve image details while denoising, its performance in sinogram restoration for low-dosed X-ray computed tomography (LDCT) is unsatisfied. The main reason for this situation is that the range filter of the bilateral filter measures similarity by sinogram values, which are polluted seriously by noises and nonstationary artifacts of LDCT. In this paper, we propose a simple method to obtain satisfied restoration results for sinogram of LDCT. That is, the range filter weighs the similarity by Gaussian smoothed sinogram. Since smoothed sinogram can reduce the influence of both noises and nonstationary artifacts for similarity measurement greatly, our new method can provide more satisfied denoising results for sinogram restoration of LDCT. Experimental results show that our method has good visual quality and can preserve anatomy details in sinogram restoration even in both noises and non-stationary artifacts.
Noise Estimation for Single-Slice Sinogram of Low-Dose X-Ray Computed Tomography Using Homogenous Patch
Zhiwu Liao,Shaoxiang Hu,Ming Li,Wufan Chen
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/696212
Abstract: We present a new method to estimate noise for a single-slice sinogram of low-dose CT based on the homogenous patches centered at a special pixel, called center point, which has the smallest variance among all sinogram pixels. The homogenous patch, composed by homogenous points, is formed by the points similar to the center point using similarity sorting, similarity decreasing searching, and variance analysis in a very large neighborhood (VLN) to avoid manual selection of parameter for similarity measures.Homogenous pixels in the VLN allow us find the largest number of samples, who have the highest similarities to the center point, for noise estimation, and the noise level can be estimated according to unbiased estimation.Experimental results show that for the simulated noisy sinograms, the method proposed in this paper can obtain satisfied noise estimation results, especially for sinograms with relatively serious noises.
A Numerical Method for Preserving Curve Edges in Nonlinear Anisotropic Smoothing
Shaoxiang Hu,Zhiwu Liao,Dan Sun,Wufan Chen
Mathematical Problems in Engineering , 2011, DOI: 10.1155/2011/186507
Abstract: We focus on nonlinearity for images and propose a new method which can preserve curve edges in image smoothing using nonlinear anisotropic diffusion (NAD). Unlike existing methods which diffuse only among the spatial variants, the new method suggests that the diffusion should be performed both among the time variants and spatial variants, named time and space nonlinear anisotropic diffusion (TSNAD). That is, not only the differences of the spatial variants should be estimated by the nearby spatial points but also the differences of the time variants should be approximated by the weighted time differences of nearby points, according to the differences of gray levels between them and the consideration point. Since the time differences of nearby points using NAD can find more points with similar gray levels which form a curve belt for the center pixel on a curve edge, TSNAD can provide satisfied smoothing results while preserving curve edges. The experiments for digital images also show us the ability of TSNAD to preserve curve edges.
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