检索结果-内蒙古大学图书馆

Method of color transfer between images

Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 2006年第10期18卷 1513-1518页

作者： Wang, Shaorong Li, Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

The current color transfer methods always use statistics as transfer function and can not deal with images with lower similarity. In this paper, a section by section color transfer method is presented, in which all the source images and reference images are segmented into a series of homogeneous regions, in which variations between classes are big and variations within classes are small, and then the color between the corresponding regions are transferred. The experiments show that the algorithm is efficient, the results are satisfactory, and it can be applied to complicated images with lower similarity.

关键词： Color transfer Linear transform OTSU's method

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Fusing color and gradient features approach to real-time background subtraction using graph cuts

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 2006年第11期18卷 1741-1747页

作者： Deng, Yu Li, Zhenbo Li, Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad. of Sciences Beijing 100080 China National Research Center for Intelligent Computing Systems Beijing 100080 China Graduate University Chinese Acad. of Sciences Beijing 100049 China

Based on the fusion of color and gradient features, this paper implements a novel approach to real-time background subtraction. Firstly, an energy function is defined based on the fusion of color and gradient features. Secondly, the graph cuts based algorithm is employed to minimize energy function and segment the foreground. Finally, average optical flow is used to make inference about the validity of foreground regions, background models are then updated. The experimental results of different real scenes show that the proposed approach can produce real-time detection and promising results.

关键词： Background subtraction Color and gradient feature Energy function Graph cuts Real-time detection

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Fusion of functional magnetic resonance imaging and electroencephalograph and its application

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Ruan Jian Xue Bao/Journal of Software 2006年第9期17卷 1867-1875页

作者： Yang, Lei Tian, Jie Hu, Jin Wang, Xiao-Xiang Pan, Xiao-Hong Laboratory of Complex Systems and Intelligent Sciences Institute of Automation Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100049 China State's Key Laboratory for Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China

Multi-Modality fusion is one of the hottest discussed issues in the current research of medical image processing and it has a deep impact on the cognitive science and clinical treatment. In this paper, an fMRI-constraint equivalent dipole model (FC-ECD) based on ICA is proposed to solve the fusion of fMRI and EEG. The ICA is adopted as a preprocessing step to exclude the noise and select the available ERP components. At the same time, it can provide a prior estimate of the number of dipoles. Then considering the spatial information provided by fMRI, the selected ERP components are localized by FC-ECD model based on an ideal four-sphere head model. Thus it can reduce the computation time dramatically. Finally, the simulation study proves the correctness and validity of the method proposed in the paper and the human study coincides with the physiology fact.

关键词： Electroencephalography

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Some marginal learning algorithms for unsupervised problems

Some marginal learning algorithms for unsupervised problems

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IEEE International Conference on Intelligence and Security Informatics, ISI 2005

作者： Tao, Qing Wu, Gao-Wei Wang, Fei-Yue Wang, Jue Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

In this paper, we investigate one-class and clustering problems by using statistical learning theory. To establish a universal framework, a unsupervised learning problem with predefined threshold η is formally described and the intuitive margin is introduced. Then, one-class and clustering problems are formulated as two specific η-unsupervised problems. By defining a specific hypothesis space in η-one-class problems, the crucial minimal sphere algorithm for regular one-class problems is proved to be a maximum margin algorithm. Furthermore, some new one-class and clustering marginal algorithms can be achieved in terms of different hypothesis spaces. Since the nature in SVMs is employed successfully, the proposed algorithms have robustness, flexibility and high performance. Since the parameters in SVMs are interpretable, our unsupervised learning framework is clear and natural. To verify the reasonability of our formulation, some synthetic and real experiments are conducted. They demonstrate that the proposed framework is not only of theoretical interest, but they also has a legitimate place in the family of practical unsupervised learning techniques. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Learning algorithms

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Simulation study of phase retrieval for hard X-ray in-line phase contrast imaging

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Science China(Physics,Mechanics & Astronomy) 2005年第4期48卷 450-458页

作者： YU Bin1,2, PENG Xiang1,2, TIAN Jindong1, NIU Hanben1, DIAO Luhong3 & LI Hua3 1. key laboratory of Optoelectronic Devices and systems of Ministry of Education, Institute of Optoelec- tronics, Shenzhen University, Shenzhen 518060, China 2. State key laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072,China 3. key laboratory of intelligent Information Processing, Institute of computing Technology, Chinese Academy of Sciences, Beijing 100080,China 1. Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education Institute of Optoelectronics Shenzhen University 518060 Shenzhen China 2. State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University 300072 Tianjin China 3. Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100080 Beijing China

Two algorithms for the phase retrieval of hard X-ray in-line phase contrast imaging are presented. One is referred to as Iterative Angular Spectrum Algorithm (IASA) and the other is a hybrid algorithm that combines IASA with TIE (transport of intensity equation). The calculations of the algorithms are based on free space propagation of the angular spectrum. The new approaches are demonstrated with numerical simulations. Comparisons with other phase retrieval algorithms are also performed. It is shown that the phase retrieval method combining the IASA and TIE is a promising technique for the application of hard X-ray phase contrast imaging.

关键词： X-ray optics, phase contrast imaging, phase retrieval, angular spectrum, hard X-ray.

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Fuzzy comprehensive assessment of assignmentability of urban traffic networks

Fuzzy comprehensive assessment of assignmentability of urban...

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IEEE International Conference on Networking, Sensing and Control

作者： Runmei Li Xiaoyan Gong The Key Laboratory of Complex Systems and Intelligent Science Intelligent and Telematic Systems Division Institute of Automatio Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780388127

In this paper, a new concept of assignmentability is proposed. The concept is used to assess the efficacy of the dynamic traffic assignment on road networks. We construct a system to handle the measurement of assignmentability and develop a model whose variables cannot be computed precisely. Based on graph theory and traffic flow theory, the relationship of three local parameters, the degree of saturation, the number of routes between the origin-destination pairs and the connectivity with assignmentability of network is considered. Although certain factors that affect assignmentability can be quantified by experts, their functional relationship to assignmentability is not so clear. In this paper, a fuzzy comprehensive evaluation framework is proposed to assess the assignmentability of traffic networks.

关键词： Telecommunication traffic Traffic control Graph theory intelligent transportation systems intelligent systems Information systems Real time systems Road accidents Road transportation Laboratories

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A survey of software watermarking

A survey of software watermarking

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IEEE International Conference on Intelligence and Security Informatics, ISI 2005

作者： Zhu, William Thomborson, Clark Wang, Fei-Yue Department of Computer Sciences University of Auckland Auckland New Zealand Systems and Industrial Engineering Department University of Arizona Tucson AZ 85721 United States Key Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China

In the Internet age, software is one of the core components for the operation of network and it penetrates almost all aspects of industry, commerce, and daily life. Since digital documents and objects can be duplicated and distributed easily and economically cheaply and software is also a type of digital objects, software security and piracy becomes a more and more important issue. In order to prevent software from piracy and unauthorized modification, various techniques have been developed. Among them is software watermarking which protects software through embedding some secret information into software as an identifier of the ownership of copyright for this software. This paper gives a brief overview of software watermarking. It describes the taxonomy, attack models, and algorithms of software watermarking. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Digital watermarking

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Adaptive nonlinear auto-associative modeling through manifold learning

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9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2005

作者： Zhang, Junping Li, Stan Z. Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences China National Laboratory of Pattern Recognition Center for Biometrics and Security Research Institute of Automation Beijing 100080 China

ISBN: (纸本)3540260765

We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separately and recognition thereby. Unlike traditional supervised manifold learning algorithm, the proposed ANAM algorithm has several advantages: 1) it implicitly embodies discriminant information because the suboptimal parameters of ANAM are determined based on error rate of the validation set. 2) it avoids the curse of dimensionality without loss accuracy because recognition is completed in the original space. Experiments on character and digit databases show that the advantages of the proposed ANAM algorithm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Learning systems

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A fuzzy logic controller for an intelligent tires system

A fuzzy logic controller for an intelligent tires system

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IEEE Symposium on intelligent Vehicle

作者： Xiangwen Zhang Zhixue Wang Wei Li Dongzhi He Feiyue Wang The Key Laboratory of Complex Systems and Intelligence Science Intelligent and Telematic Systems Division Institute of Automation Chinese Academy of Sciences Beijing China

A fuzzy logic controller is designed. The tire temperature, pressure, velocity are defined as input variables. The velocity compensation and the pressure compensation are defined as output variables. The fuzzy logic rules are got by considering the qualitative relations among the input and output variables. The intelligent tires system with the fuzzy logic controller is modeled. The tire wastage e coefficient and the tire pressure safety coefficient are defined as the measure of the tire economy and safety. The simulation of the intelligent, tires system with and without the fuzzy logic controller is performed. The results show that the fuzzy logic controller can decrease the tire wastage coefficient and increase the pressure safety coefficient obviously.

关键词： Fuzzy logic Control systems intelligent systems Tires Temperature Pressure control intelligent sensors Automatic control Pressure measurement Safety

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The application of genetic algorithm to dynamic traffic assignment

The application of genetic algorithm to dynamic traffic assi...

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IEEE Symposium on intelligent Vehicle

作者： Runmei Li Wei Li The Key Laboratory of Complex Systems and htelligent Science Intelligent and Telematic Systems Division Institute of Automation Chinese Academy and Sciences Beijing China

In this paper, the applications of genetic algorithms to dynamic traffic assignment are analyzed based on a dynamic traffic assignment variational inequality model and the condition of physical queue is studied in this model. A simple example is used to demonstrate the efficiency of the genetic algorithms. The conclusions and directions for future development about the application of genetic algorithm to traffic assignment are presented.

关键词： Genetic algorithms Traffic control Communication system traffic control Telecommunication traffic intelligent transportation systems Algorithm design and analysis Queueing analysis Information systems Real time systems Road transportation

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