检索结果-内蒙古大学图书馆

Multi-temporal Satellite images Change Detection Algorithm Based on NSCT

Procedia Engineering 2011年 24卷 252-256页

作者： Wei Cui Zhenhong Jia Xizhong Qin Jie Yang Yingjie Hu College of Information Science and Engineering Xinjiang University Urumqi 830046 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland 1020 New Zealand

In order to get the change detection *** unsupervised change detection algorithm for multi-temporal satellite image based on NSCT (non-subsampling contourlet transform) and k-means clustering is proposed in this paper. For each pixel in the log-ratio image, multi-scale and multi-direction feature vector is extracted by NSCT and the reconstruction of the log-ratio image is obtained. The threshold is produced by using the k-means clustering algorithm and can distinguish between the unchanged and the change region. Finally, the change detection map is achieved. Some satellite images are used to verify the proposed method and the results shows that it has a higher stability and accuracy against Gaussian and speckle noise than traditional algorithms.

关键词： NSCT k-means clustering multi-temporal satellite images change detection

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The construction of fractional differential gradient operator

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Journal of Computational Information Systems 2011年第12期7卷 4328-4342页

作者： Yang, Zhuzhong Lang, Fangnian Yu, Xiaohong Zhang, Yu Chengdu University College of Electronics and Information Engineering Chengdu 610106 China Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu 610106 China University of Electronic Science and Technology of China School of Electronic Engineering Chengdu 610054 China

Fractional calculus is relative to the traditional integer order calculus put forward, which is the order of calculus from integer orders extended to any order of the mathematical promotion. From the theoretical point of view, the fractional differential calculus signal processing order extended to any number from an integer, the ways and means of information processing were extended. This article is a tentative application of fractional differential theory in image processing. First, starting from a fractional differential filter, we obtained fractional differential equations of one-dimensional signal. Referencing methods of constructing integer order differential operators, we proposed the method of constructing fractional differential operators. When the number of fractional differential order as 1 or 2, the fractional differential is equal to the first or second order differential, that means the integer-order differential is a special case of fractional differential. Finally, the experimental results show that the image edge detection which based on fractional differential operator compare to the traditional first and second differential operators has a higher signal to noise ratio. This paper shows that, as the study of fractional differential, the application of fractional calculus in a wider area will be successful. Copyright © 2011 Binary Information Press.

关键词： Differentiation (calculus)

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An Algorithm for Remote Sensing image Denoising Based on the Combination of the Improved BiShrink and DTCWT

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Procedia Engineering 2011年 24卷 470-474页

作者： Minghui Li Zhenhong Jia Jie Yang Yingjie Hu Dianjun Li College of Information Science and Engineering Xinjiang University Urumqi 830046 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland 1020 New Zealand

By considering the strong correlation between wavelet coefficients of the actual image, while bivariate model is only a statistical model for the interscale dependency of wavelet coefficient with parent coefficient, without taking into account the correlation of adjacent coefficient. Therefore, based on the shift-invariance and better directionality of the dual-tree complex wavelet transfer (DTCWT) and incorporating neighboring wavelet coefficients with BiShrink, a novel BiShrink threshold and DTCWT remote sensing image denoising method is presented. Experimental results show the proposed algorithm gets better PSNR than other methods mentioned observably. In terms of visual quality the proposed algorithm can get the images with more details smooth profiles and aliasing is restricted

关键词： Dual Tree Complex Wavelet Transfer(DTCWT) BiShrink threshold Neighboring coefficients Remote sensing image denoising

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image enhancement based on improved fractional differentiation

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Journal of Computational Information Systems 2011年第1期7卷 257-264页

作者： Gao, Chaobang Zhou, Jiliu Zheng, Xiuqing Lang, Fangnian College of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Sichuan Province Chengdu 610106 China School of Computer Science Sichuan University Chengdu 610064 China

In this paper, according to the development of the fractional differentiation and its applications in the modern signal processing, we improve the numerical calculation of fractional differentiation by piecewise quadratic interpolation equation, that is, improved fractional differentiation, IFD for short, and propose a new corresponding operator, IFD operator. And we apply this new operator to image enhancement. Experiments show that, for texture-rich digital image, the capability of nonlinearly enhancing comprehensive texture details by IFD is very obvious. For quantity analysis, we particularly calculate the information entropy and average gradient. Comparing with fractional differentiation, the image obtained by IFD is clearer. © 2011 Binary Information Press.

关键词： image enhancement

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Adaptive dynamic loading and unloading mechanism applied to development environment for image processing algorithm

Adaptive dynamic loading and unloading mechanism applied to ...

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International Conference on Computer Science and Service System (CSSS)

作者： Haifeng Lu Tianxu Zhang Wei Yan Zhao Cheng State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Technology Hubei Daily Media Group Wuhan China

An advanced development environment contributes to research process greatly. This paper presents a novel adaptive dynamic loading and unloading mechanism applied to development environment for image processing algorithm and two implementation methods of the mechanism. Based on the inherent characteristic of variable arguments of functions in programming language and explicit linking technique for dynamic link library (DLL), the mechanism is to integrate the image processing algorithm into the DLL file which is independent from the development environment, and to make the development environment identify the normative algorithm DLL and load functions of image processing algorithm successfully when needed. The proposed mechanism has been implemented in a development environment written by C/C++ language. The results show that the development environment based on the novel mechanism can improve work efficiency by making researchers only focus on the development of image processing algorithm rather than the other inefficient and repetitive work. At the same time the standardability, reusability and confidentiality of image processing algorithm can be promoted greatly. This mechanism is also applicable to other similar systems.

关键词： image processing Heuristic algorithms Algorithm design and analysis Loading Computational modeling Computer languages Mathematical model

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Functional analysis of mitral complex geometry using Support Vector Machines from 3D echocardiography

Functional analysis of mitral complex geometry using Support...

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Computers in Cardiology (CinC)

作者： Wei Song Xin Yang Jing Wang Yi Yu Sun Kun Institution of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Shanghai Childrens Medical Center Medical College Shanghai Jiaotong University Shanghai China Xinhua Hospital School of Medicine Shanghai Jiaotong University Shanghai China

In order to assist diagnosis and surgical repair of congenital mitral disease, quantitative analysis of 3D geometry of the mitral complex is necessary for better understanding mechanism and dysfunction of the mitral complex. This work aims to extract geometric parameters of mitral complex and utilize Support Vector Machines (SVM) based classifier to support diagnosis of congenital mitral regurgitation (MR). With a control group of 20 normal young children (11 boys, 9 girls, 5.96±3.12 years) with normal structure of mitral apparatus, 20 patients (9 boys, 11 girls, 5.59±3.30 years) suffering from severe congenital MR are recruited in this study. The results of parameter validation demonstrates that the measurement precision is in the range of inter-/intra-observer variability. SVM-based classifier achieves average classification accuracy at 85.0% in the present population.

关键词： Muscles Support vector machines Three dimensional displays Geometry Pediatrics Valves Educational institutions

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Probabilistic Model-Based Silhouette Refinement for Gait recognition

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Journal of Shanghai Jiaotong university(Science) 2010年第1期15卷 24-30页

作者：张元元吴晓娟阮秋琦 Institute of Image Processing and Pattern Recognition Shandong University Institute of Information Science Beijing Jiaotong University

An algorithm to refine and clean gait silhouette noises generated by imperfect motion detection techniques is developed,and a relatively complete and high quality silhouette is *** silhouettes are sequentially refined in two levels according to two different probabilistic *** first level is within-sequence *** silhouette in a particular sequence is refined by an individual model trained by the gait images from current *** second level is between-sequence *** the silhouettes that need further refinement are modified by a population model trained by the gait images chosen from a certain amount of *** intention is to preserve the within-class similarity and to decrease the interaction between one class and *** experimental results indicate that the proposed algorithm is simple and quite effective,and it helps the existing recognition methods achieve a higher recognition performance.

关键词： silhouette refinement probabilistic model gait recognition performance evaluation

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Adaptive dynamic loading and unloading mechanism applied to development environment for image processing algorithm

Adaptive dynamic loading and unloading mechanism applied to ...

引用

2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Lu, Haifeng Zhang, Tianxu Yan, Wei Cheng, Zhao State Key Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Department of Technology Hubei Daily Media Group Wuhan 430077 China

ISBN: (纸本)9781424497638

关键词： Reusability

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Estimating the Connection Probability for 2-D Mesh Networks by Monte Carlo Methods

Estimating the Connection Probability for 2-D Mesh Networks ...

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International Conference on Computer and Management (CAMAN)

作者： Meilian Liang Binmei Liang Zehui Shao Xiaodong Xu School of Mathematics and Information Science Guangxi University Nanning China Key Laboratory of Pattern Recognition and Intelligent Information Processing School of Information Science & Technology University of Chengdu Chengdu China Guangxi Academy of Sciences Nanning China

Fault tolerance is a central issue in the design and implementation of interconnection networks for large parallel systems. Connection probability of a network is a good network fault tolerance measure. For a mesh of given size and node failure probability, the gap between the known upper and lower bounds on the connection probability is often very large. In this paper we design algorithms to estimate the connection probability for 2-D meshes by Monte Carlo methods. The experiment is carefully designed and performed, and the simulation results give good estimates of the connection probability for 2-D meshes and can be used to evaluate the known lower and upper bounds on connection probability for 2-D meshes.

关键词： Mesh networks Fault tolerance Fault tolerant systems Upper bound Monte Carlo methods Computers Simulation

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Support Vector Regression Based Color image Restoration in YUV Color Space

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Journal of Shanghai Jiaotong university(Science) 2010年第1期15卷 31-35页

作者：黎明杨杰苏中义 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Department of Electronic Engineering Shanghai Dianji University

A support vector regression(SVR) based color image restoration algorithm is *** test color images are firstly mapped into the YUV color space,and then SVR is applied to build up a theoretical model between the degraded images and the original *** comparisons of the proposed algorithm versus traditional filtering algorithms are *** results show that the proposed algorithm has better performance than traditional filtering algorithms and has less computation time than iterative blind deconvolution algorithm.

关键词： color image restoration support vector regression （SVR） color space

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