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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Shifei Ding Zhongzhi Shi Fengxiang Jin College of Information Science and Engineering Shandong Agricultural University Taian 271018 P.R.C Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Aca College of Geo-Information Science and Engineering Shandong University of Science and Technology Q

ISBN: (纸本)9781424404759

Fuzzy information measure is a measure between two pattern vectors in fuzzy circumstance. In this paper, an axiom theory about fuzzy entropy is surveyed, and all kinds of definitions of fuzzy entropy are discussed firstly. And then based on the idea of Shannon information entropy, two concepts of fuzzy joint entropy and fuzzt conditional entropy are proposed and the basic properties of them are given and proved. At last, the classical similarity measures, such as dissimilarity measure (DM) and similarity measure (SM) are studied, and then two new measures, fuzzy absolute information measure (FAIM) and fuzzy relative information measure (FRIM) are set up, which can be a measure between a fuzzy set A and B. So, It provides a new research approach for studies on pattern similarity measure.

关键词： Fuzzy entropy similarity measure fuzzy absolute information measurement (FAMI) fuzzy relative information measurement (FRIM).

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Automatic Recognition of Noisy Code-39 Barcode

Automatic Recognition of Noisy Code-39 Barcode

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Xianyong Fang Fuli Wu Bin Luo Haifeng Zhao Peng Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China College of Information Engineering Zhejiang University of Technology China Motorola China Electronics Limited Corporation China

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images.

关键词： Decoding Bars Image edge detection Robustness Equations Low pass filters Signal processing Educational institutions Educational technology Image recognition

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information CLASSIFIED RECOGNITION METHOD BASED ON FUZZY CONTROL

INFORMATION CLASSIFIED RECOGNITION METHOD BASED ON FUZZY CON...

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： SHI-FEI DING ZHONG-ZHI SHI XI-JUN ZHU College of Information Science and Engineering Shandong Agricultural University Taian 271018China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Aca School of Science Qingdao Technological University Qingdao 266033 China

In this paper, an information pattern recognition method based on fuzzy control is set up. On one hand, the modeling method of fuzzy information classified recognition pattern has been established. On the other hand, the data from Qufu City of Shandong Province during 14 years from 1990 to 2003 is processed and analyzed. The average temperature (℃) and rainfall (mm) in April each year are considered as the input of the system, a number of Aphis gossypii Glover (AGG)occurred for the Cotton in high period are considered as the output, Fuzzy information classified recognition pattern is set up in order to recognize the occurrence degree of the *** results of the returning recognition from 1990 to 2003 and the recognition for 2004 are satisfactory.

关键词： Fuzzy control Pattern recognition Classified recognition pattern The Aphis gossypii Glover (AGG)

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Gait Recognition Using Fractal Scale and Wavelet Moments

Gait Recognition Using Fractal Scale and Wavelet Moments

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International Conference on Pattern Recognition

作者： Guoying Zhao Li Cui Hua Li M. Pietikainen Machine Vision Group Infotech Oulu and Department of Electrical and Information Engineering University of Oulu Finland Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China School of Mathematics Science Beijing Normal University Beijing China

Video-based gait recognition is a challenging problem in computer vision. In this paper, fractal scale wavelet analysis is applied to describe and automatically recognize gait. Fractal scale based on wavelet analysis represents the self-similarity of signals, and improves the flexibility of wavelet moments. Optimal wavelets based on generalized multi-resolution analysis are used to improve the recognition rate. Descriptors of fractal scale are translation, scale and rotation invariant. Moreover, a combination of fractal scale and wavelet moments improves the recognition rate. Experiments show that the proposed descriptor is efficient for gait recognition

关键词： Fractals Wavelet analysis Image recognition Signal resolution Image sequences Continuous wavelet transforms Discrete wavelet transforms Wavelet coefficients Machine vision Laboratories

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Method of color transfer between images

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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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Novel linear edge detector derived from Fresnel diffraction mode

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Jisuanji Xuebao/Chinese Journal of Computers 2006年第12期29卷 2138-2142页

作者： Diao, Lu-Hong Yu, Bin Li, Hua National Center of Computing Technology Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100049 China Institute of Optoelectronics Shenzhen University Shenzhen 518600 China

This paper proposes an edge detection scheme based on Fresnel diffraction mode. Since Fresnel diffraction is mathematically complex, it is simplified into a linear convolution filter. Experiments on images are compared with the Laplacian of Gaussian, Sobel and Canny edge detection algorithms. The experimental results indicate that the new detector's result is comparable to Canny detector and agree more with human's recognition. And it also can get an even better edge map on some regions which contain abundant local details or some tiny changes.

关键词： Edge detection

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Understanding the Dynamical Characteristics of Neural Networks by Universal Fuzzy Logical Framework

Understanding the Dynamical Characteristics of Neural Networ...

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2005 International Conference on Neural Networks and Brain(ICNN&B’05)

作者： Hong Hu Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science

ISBN: (纸本)0780394224

The analytical study of a large scale nonlinear neural network is an uneasy *** try to analyze the function of neural systems by probing into the fuzzy logical framework of the neural ceUs'dynamical *** papers investigate the relation between fuzzy logic and neural *** most investigations focus on finding new function of neural system by combining fuzzy logical and neural system. In this paper,a novel approach is used to understand the nonlinear dynamic characteristics of neural system by analyzing the fuzzy logic framework of neural *** is the only way to understand the behavior of a large scale nonlinear neural *** abstracting the fuzzy logical framework of a neural cell,our analysis enables the delicate design of network *** an example,a difficulty task to build a recurrent network model of primary visual cortex by common dynamical analysis can be easily completed by this kind approach.

关键词： Understanding the Dynamical Characteristics of Neural Networks by Universal Fuzzy Logical Framework Fuzzy

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Formal analysis of concept-interconnection

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Journal of Computational information Systems 2005年第4期1卷 863-869页

作者： Lei, Yuxia Sui, Yuefei Cao, Baoxiang Wang, Yan Yu, Jiguo College of Computer Science and Technology Qufu Normal University Rizhao 276826 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

As a suitable tool for analyzing concept interconnection formally, the theory of Formal Concept Analysis (FCA) is applied. FCA deals with formal mathematical tools and techniques to develop and analyze relationship between concepts and to develop concept structures, and concepts are important building blocks in the concept-interconnection. This paper mainly discusses how FCA can be used to support concept-interconnection analysis from an application point of view. In order to introduce our idea, two kinds of concept-interconnection and interconnection measure in detail are discussed. One is based on Concept-Backbone and the other is based on the attributes. It is seen that FCA can support the building of concept-interconnection as a learning technique, but the established concept-interconnection also can be analyzed by using techniques of FCA.

关键词： Semantics

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An ontology-driven multi-agent architecture for knowledge acquisition from text in NKI

An ontology-driven multi-agent architecture for knowledge ac...

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International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005

作者： Guogang, Tian Cungen, Cao Key Laboratory of Intelligent Information Processing Graduate University of the Chinese Academy of Sciences Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences

ISBN: (纸本)0769525040

NKI contains a multi-domain oriented and large scale knowledge base. Text corpus is an important knowledge source of it. This paper presents an ontology-driven and integrated multi-agent architecture (MAKAT) for achieving sharing and reuse among different kinds of knowledge acquisition in NKI. MAKAT is a three-tier model which involves KATO, KARO, KATA, among which the description and execution layer are discussed in detail. Finally, we utilize the MAKAT model to acquire two different relations: part-of relation and hyponymy. It is observed that the MAKAT model can provide sharing and reuse in these two different cases. © 2005 IEEE.

关键词： Computer architecture

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