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RISS 인기검색어
- 검색키워드
- 저자 : Weixiang Xu (검색결과 6 건)
- 무료
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Research on an Approach of Cloud Workloads Deployment to Public Cloud Based on Open Source Standard
Xu Weixiang,Jia Lin 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.3
Cloud computing is a kind of formula mode that is based on internet, and in this way, the sharing software and hardware resource and information can be provided for the computer and the other terminal devices on demand. However, due to technical differences among main service vendors, there is a compatibility issue on appropriate format that is based on the virtual machine manager of different cloud platforms. Therefore, it brings some hinder to flexible deployment of cloud workloads to some extent. While with the great development of open source standers, such issues can be solved in another train of thought. In this paper, it proposes a constructive solution to deploy cloud workloads based on open source standers. In the whole structure, the key point is that a cloud middleware is introduced and the application of MapReduce algorithm. The cloud middleware contains four kinds of modules, namely, OVF converter, classifier, interface matched and security check. And the improved MapReduce algorithm is used to the classification phase of the cloud workloads. In the program, cloud workloads are sent to the cloud middleware, and in the process of "classified → packaged →matching interface → security check → deployment", which can make cloud workloads deployed easily and flexibly. And this paper will elaborate the progress of each section through a theory case. The biggest construction of this program is manifested in four aspects that are function modular, operation independence, security and scalability. This program must be further improvement, based on the addition of functional roles and the development of open source standards, and has a strong theoretical and practical significance.
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Improved Computing Method of Mutual Information in Medical Image Registration
Xumin Liu,Zilong Duan,Weixiang Xu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.4
Mutual information based medical image registration is one of the most common registration method in registration domain currently. This paper studies the mutual information of the calculation process for mutual information calculation speed is slow, low efficiency of registration, registration can not meet real-time requirements, an improved gray compression algorithm, by reducing the gray-scale of images to improve image the registration efficiency and gradient similarity combined with mutual information as a new registration measure, so that the registration in improving efficiency while meeting the requirement of registration accuracy. The comparative experiments this article made show that, under the premise of registration accuracy to ensure that the method can significantly improve the speed of image registration.
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An Image Edge Detection Algorithm Based on Improved Wavelet Transform
Xumin Liu,Zilong Duan,Xiaojun Wang,Weixiang Xu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.4
In this paper, for wavelet modulus maxima edge detection affected by noise largely, we propose an improved image fusion algorithm. Firstly, wavelet denoising and smoothing filter are conducted on the original image. Secondly, making edge detection with wavelet transform modulus maxima edge detection and improved canny edge detection get each of edge detection images. Thirdly, let the wavelet fusion follow some certain fusion rules. Finally, making the inverse wavelet transform reconstruct the fused image. The experimental results show that the fused image combines the advantages of edge detection methods, which is an effective image edge detection method.
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Research on 3D Visualization Method of Seismic Data
Xumin Liu,Dawei Li,Yongxiu Xu,Weixiang Xu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
3D visualization is an important link in seismic data processing and interpretation, and the development of the microcomputer system of 3d visualization software for seismic data is very necessary. This paper uses MFC (Microsoft Programming Interface) and VTK (Visualization Toolkit) building three-dimensional scene, realizing the 3d seismic data field Visualization display system and determining the projection window according to characteristics of the seismic data field which is a regular three-dimensional spatial data field. In this paper, we apply the 3d visualization technology to the field of seismic data processing, use the improved light projected volume rendering method to directly render 3d seismic data and displaying the 3d seismic data to users in the form of three-dimensional interpretation, greatly improve the efficiency and accuracy of seismic interpretation, at the same time, also can provide a powerful conditions for further data interpretation and analysis.
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Vector Quantization Method Based on Satellite Cloud Image
Xumin Liu,Zilong Duan,Xue Yang,Weixiang Xu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11
Automatic vectorization in the field of image processing and recognition is one of development direction. This paper does some relevant researches on satellite cloud image preprocessing, image segmentation, image vector quantization. To improve the effect of noise reduction and preserving image details, this paper puts forward an improved adaptive median filter algorithm; For increasing the speed of image segmentation, this paper puts forward automatic layering algorithm combined with color information. Finally, this paper puts forward automatic vector quantization algorithm based on satellite cloud images and we developed an automatic vector quantization prototype system of satellite cloud images. The research results suggest that our automatic vector quantization algorithm has satellite cloud information automatic extraction function, identification function and vector quantization function.
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