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第三届健康信息学国际学术会议（HIS 2014）

作者： Fan Zhang Zhiwei Cao Xinhong Zhang Kui Cao Institute of Image Processing and Pattern Recognition Henan University School of Computer and Information Engineering Henan University Software School Henan University

In the studying of fibers microstructure of brain white matter,many reconstruction methods have been proposed to interpret the diffusion-weighted signalThose methods can be categorized into modelbased and model-free methodsIn this paper,the diffusion configuration of water molecules are discussed,and two questions are put forward to analyze the performance of the current algorithms about diffusion configuration.

关键词： diffusion weighted MRI,diffusion configuration,fibers microstructure

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From dense subgraph to graph matching: A label propagation approach

From dense subgraph to graph matching: A label propagation a...

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International Conference on Audio, Language and image Processing, ICALIP

作者： Zhuoyi Zhao Yu Qiao Jie Yang Li Bai Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China School of Computer Science University of Nottingham Nottingham UK

ISBN: (纸本)9781479939046

Graph matching (GM) is a fundamental problem in computer science, and it has been successfully applied to provide solutions to many problems in computer vision. In this paper, we consider GM as a clustering problem in an association graph whose nodes represent candidate correspondences between two graphs to be matched. And we take the dense subgraph as a good prior for correct correspondences, thus we propose a label propagation approach to expand the dense subgraph to resolve the whole cluster. The label propagation approach is achieved by an affinity-preserving manifold ranking algorithm with a dynamic label vector which enforces the matching constraints. And the matching constraints is introduced through a doubly-stochastic normalization procedure. Extensive experiments demonstrate that our algorithm outperforms the state-of-the-art GM algorithms especially in the presence of outliers and deformation.

关键词： Manifolds Vectors Clustering algorithms Accuracy Heuristic algorithms Sparse matrices Noise

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A RIF based mapping of RDB2RDF

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2014年第6期7卷 29-44页

作者： Chen, Ying Xu, Zhuoming Ni, Yuyan Cao, Guangxu Zhang, Shiqing College of Computer and Information Hohai University Nanjing Jiangsu China Institute of Image Processing and Pattern Recognition Taizhou University Taizhou Zhejiang China

Mapping RDB to RDF (i.e., RDB2RDF) is the key to constructing the Semantic Web, hence has been an active research field during the last decade. Many technically heterogeneous RDB2RDF tools resulted in non-interchangeable and unreusable RDB2RDF mapping descriptions. In 2009, the W3C RDB2RDF Incubator Group Report once strongly suggested that the RDB2RDF mapping language be expressed in rules as defined by the W3C Rule Interchange Format (RIF) Working Group, because rules are an effective way to express mappings between information models, and RIF, as part of the infrastructure for the Semantic Web, is now a standard for exchanging rules among Web rule systems. This paper addresses the issue of RIF-based RDB2RDF mapping and proposes a database semantics-driven, RIF Production Rule Dialect (RIF-PRD) based mapping description approach. The work includes defining a set of generic RIF-PRD mapping rules for RDB2RDF, developing a prototype mapping engine called RIFD2RME (stands for RIF-based RDB2RDF Mapping Engine), and conducting case study experiments with the prototype. The experimental results indicate that the proposed mapping approach is achievable and effective.

关键词： Mapping

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Simulation of thermal field induced by concave spherical transducer in multi-layer media

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Journal of Central South University 2013年第11期20卷 3166-3170页

作者：丁亚军钱盛友廖志远 Institute of Image Recognition and Computer Vision Hunan Normal University College of Physics and Information Science Hunan Normal University

High intensity focused ultrasound(HIFU)therapy is an effective method in clinical treatment of tumors,in order to explore the bio-heat conduction mechanism of in multi-layer media by concave spherical transducer,temperature field induced by this kind of transducer in multi-layer media will be simulated through solving Pennes equation with finite difference method,and the influence of initial sound pressure,absorption coefficient,and thickness of different layers of biological tissue as well as thermal conductivity parameter on sound focus and temperature distribution will be analyzed,*** results show that the temperature in focus area increases faster while the initial sound pressure and thermal conductivity *** absorption coefficient is smaller,the ultrasound intensity in the focus area is bigger,and the size of the focus area is *** the thicknesses of different layers of tissue change,the focus position changes slightly,but the sound intensity of the focus area will change *** temperature in focus area will rise quickly before reaching a threshold,and then the temperature will keep in the threshold range.

关键词： multi-layer media concave spherical transducer high intensity focused ultrasound thermal field

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An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data

An efficient and scalable learning algorithm for Near-Earth ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Ke Wang Ping Guo School of computer Science and Technology Beijing Institute of Technology Beijing P.R. China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing P.R. China

ISBN: (纸本)9781479938414

In this paper, we investigate the efficiency and scalability of Gaussian mixture model based learning algorithm for the detection of Near-Earth objects in large scale astronomy image data. We propose an effective scheme to reduce the computational complexity of current learning algorithm, this is achieved by adopting the perceptual image hashing method. Our proposed scheme is validated on raw astronomy image data. The experiment results illustrate that both efficiency and scalability are improved significantly in astronomical scenario and other scenario.

关键词： Astronomy Scalability Big data Data mining Gaussian distribution Hamming distance Gaussian mixture model

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A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions

A Probabilistic Framework for Multitarget Tracking with Mutu...

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IEEE Conference on computer Vision and Pattern recognition

作者： Menglong Yang Yiguang Liu Longyin Wen Zhisheng You Stan Z. Li Key Laboratory of Fundamental Synthetic Vision Graphics and Image for National Defense School of Aeronautics and Astronautics & Computer Science Sichuan University Center for Biometrics and Security Research & National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479951192

Mutual occlusions among targets can cause track loss or target position deviation, because the observation likelihood of an occluded target may vanish even when we have the estimated location of the target. This paper presents a novel probability framework for multitarget tracking with mutual occlusions. The primary contribution of this work is the introduction of a vectorial occlusion variable as part of the solution. The occlusion variable describes occlusion states of the targets. This forms the basis of the proposed probability framework, with the following further contributions: 1) Likelihood: A new observation likelihood model is presented, in which the likelihood of an occluded target is computed by referring to both of the occluded and occluding targets. 2) Priori: Markov random field (MRF) is used to model the occlusion priori such that less likely "circular" or "cascading" types of occlusions have lower priori probabilities. Both the occlusion priori and the motion priori take into consideration the state of occlusion. 3) Optimization: A realtime RJMCMC-based algorithm with a new move type called "occlusion state update" ispresented. Experimental results show that the proposed framework can handle occlusions well, even including long-duration full occlusions, which may cause tracking failures in the traditional methods.

关键词： Target tracking Probabilistic logic Approximation algorithms Cameras Proposals Computational modeling

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Algorithm Research and Real-time Simulation of Neural Network Sliding Mode Position Control

Algorithm Research and Real-time Simulation of Neural Networ...

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第25届中国控制与决策会议

作者： LI Wei ZHANG Yanyu GAO Yong CHAI Xiuli Institute of Image Processing and Pattern Recognition Henan University School of Computer and Information Engineering Henan University School of Automation Science and Engineering Beihang University

ISBN: (纸本)9781467355339

This paper presents a neural network sliding mode control algorithm for position control of modular robot. This method adopts BP neural network to approximate the functional relation between the sliding hyperplane and the exponential approximation rate. At the same time, the saturation function of sliding mode control algorithm is replaced by a hyperbolic tangent function to realize the boundary design method of the sliding mode control. The results of real-time simulation show that the algorithm proposed in this paper has the merits of fast response, strong robustness, and reducing the chattering of sliding mode control. This method solves the problems that conventional PID algorithm can’t solve under some circumstances, such as complicated environment, great load change, etc.

关键词： Robot control actuator sliding mode control neural network control

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Publishing rdf from relational database based on d2R improvement

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WSEAS Transactions on Information Science and Applications 2013年第8期10卷 241-248页

作者： Chen, Ying Zhao, Xiaoming Zhang, Shiqing Department of Computer Science Taizhou University 605 Dongfang Avenue Linhai Taizou Zhejiang China Institute of Image Processing and Pattern Recognition Taizhou University 605 Dongfang Avenue Linhai Taizou Zhejiang China

As a key technology to implement Semantic Web, linked data have gradually been an academic and industrial concern. Linked data represents a practice of technologies on the web and linked structure data. The goal of linked data is to enable people to share structured data on the web as easily as they can share documents today. On the Web of data structured with linked data, users can jump from one dataset to another. Compared with the Web of document which enables one to jump from one document to another, data Web provides much more links and has semantics. Mapping relational databases to RDF is a fundamental problem for the development of linked data. This paper firstly makes an improvement with R2RML to open source software named D2R which can publish linked data, and then takes an example of the data concerning a college enrollment in Sichuan of China in 2011, demonstrating that we can publish the data in RDB into RDF as linked data through the new approach more efficient and make it browsable.

关键词： Linked data

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An improved 3D edge surface tracking algorithm based on 3D fractional-order differentiation within confocal microscopy images

An improved 3D edge surface tracking algorithm based on 3D f...

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4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013

作者： Ma, Yu Zhang, Yanning Wang, Lisheng Institute of Computer Science Northwestern Polytechnical University Xi'an 710129 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9783642420566

Fractional-order differentiation enhances the image nonlinearly, but only has been applied in the 2D image. The 2D fractional differentiation operator is extended to 3D and the 3D fractional differentiation discrete filtering masks are deduced. The 3D fractional differentiation is implemented to improve the traditional 3D image edge surface tracking algorithm in two aspects. Firstly, the 3D data fields of neuron slices are enhanced by the 3D fractional differentiation, ensures more detailed structures of edge surfaces with low contrast are extracted. Then integral-order gradient is modified by the fractional differentiation to get more 3D detailed structures. The proposed method has been applied to 3D confocal microscopy images, and more 3D detail structures of neuron are tracked compared to the traditional 3D edge surface tracking algorithm. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： image enhancement

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Feature points matching algorithm in DSA image registration

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Journal of Computational Information Systems 2013年第1期9卷 113-120页

作者： Zhang, Fan Hou, Yabin Cui, Yanbin Zhang, Xinhong Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China Equipment Management Department Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China

Motion artifacts of digital subtraction angiography (DSA) are usually corrected by image registration. image registration is the process of transforming different sets of feature points into one coordinate system. Mismatches between the two sets of feature points will directly affect the image registration, and thus cause a lot of artifacts in the subtraction images. In this paper, a feature points matching algorithm is proposed. The similarity measure of feature point neighborhood is used to find the corresponding feature points, and delete a large number of non-existent corresponding feature points. It will improve image registration of DSA effectively. © 2013 Binary Information Press.

关键词： image registration

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