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image ANALYSIS BASED ON EDGE DETECTION TECHNIQUES

Journal of Shanghai Jiaotong university(Science) 2002年第2期7卷 198-203页

作者： NASSIR H.SALMAN(纳瑟) LIU Chong-qing(刘重庆) Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

A method that incorporates edge detection technique, Markov Random field (MRF), watershed segmentation and merging techniques was presented for performing image segmentation and edge detection tasks. It first applies edge detection technique to obtain a Difference In Strength (DIS) map. An initial segmented result is obtained based on K means clustering technique and the minimum distance. Then the region process is modeled by MRF to obtain an image that contains different intensity regions. The gradient values are calculated and then the watershed technique is used. DIS calculation is used for each pixel to define all the edges (weak or strong) in the image. The DIS map is obtained. This help as priority knowledge to know the possibility of the region segmentation by the next step (MRF), which gives an image that has all the edges and regions information. In MRF model, gray level l , at pixel location i , in an image X , depends on the gray levels of neighboring pixels. The segmentation results are improved by using watershed algorithm. After all pixels of the segmented regions are processed, a map of primitive region with edges is generated. The edge map is obtained using a merge process based on averaged intensity mean values. A common edge detectors that work on (MRF) segmented image are used and the results are compared. The segmentation and edge detection result is one closed boundary per actual region in the image.

关键词： Difference In Strength (DIS) Markov Random Field (MRF) watershed algorithm K-means edge detection image segmentation image analysis

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TOWARDS AN ONTOLOGY-BASED MULTI-AGENT MEDICAL INFORMATION SYSTEM BASED ON THE WEB

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Journal of Shanghai Jiaotong university(Science) 2002年第2期7卷 194-197页

作者： ZHANG Quan-hai(张全海) SHI Peng-fei(施鹏飞) Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

This paper described an ontology based multi agent knowledge process made (MAKM) which is one of multi agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in the workgroup. In MAKM, an agent is the entity to implement the distributed task processing and to access the information or knowledge. Knowledge query manipulation language (KQML) is adapted to realize the communication among agents. So using the MAKM mode, different knowledge and information on the medical domain could be organized and utilized efficiently when a collaborative task is implemented on the web.

关键词： multi-agents system (MAS) medical information semantic network ontology

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image Analysis Based on Edge Detection Techniques

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Journal of Shanghai Jiaotong University(Science) 2002年第2期E-7卷 198-203页

作者：纳瑟刘重庆 Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

A method that incorporates edge detection technique, Markov Random field (MRF), watershed segmentation and merging techniques was presented for performing image segmentation and edge detection tasks. It first applies edge detection technique to obtain a Difference In Strength (DIS) map. An initial segmented result is obtained based on K-means clustering technique and the minimum distance. Then the region process is modeled by MRF to obtain an image that contains different intensity regions. The gradient values are calculated and then the watershed technique is used. DIS calculation is used for each pixel to define all the edges (weak or strong) in the image. The DIS map is obtained. This help as priority knowledge to know the possibility of the region segmentation by the next step (MRF), which gives an image that has all the edges and regions information. In MRF model,gray level l, at pixel location i, in an image X, depends on the gray levels of neighboring pixels. The segmentation results are improved by using watershed algorithm. After all pixels of the segmented regions are processed, a map of primitive region with edges is generated. The edge map is obtained using a merge process based on averaged intensity mean values. A common edge detectors that work on (MRF) segmented image are used and the results are compared. The segmentation and edge detection result is one closed boundary per actual region in the image.

关键词： Difference In Strength (DIS) Markov Random Field (MRF) watershed algorithm K-means edge detection image segmentation image analysis

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Towards an Ontology-Based Multi-Agent Medical Information System Based on the Web

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Journal of Shanghai Jiaotong University(Science) 2002年第2期E-7卷 194-197页

作者：张全海施鹏飞 Inst. of Image Processing & Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200030 China

This paper described an ontology-based multi-agent knowledge process made (MAKM) which is one of multi-agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in the workgroup. In MAKM, an agent is the entity to implement the distributed task processing and to access the information or knowledge. Knowledge query manipulation language (KQML) is adapted to realize the communication among agents. So using the MAKM mode, different knowledge and information on the medical domain could be organized and utilized efficiently when a collaborative task is implemented on the web.

关键词： multi-agents system (MAS) medical information semantic network ontology

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Research expectation and countermeasure of pattern recognition and intelligent system

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Zidonghua Xuebao/Acta Automatica Sinica 2002年第SUPPL.期28卷 92-95页

作者： Zhang, Tian-Xu Lab. for Image Proc. Inst. for Rattern Recognition Huazhong Univ. of Sci. and Technol. Wuhan 430074 China

The trend of intelligentization in development of automation technology is discussed. It is clarified that pattern recognition and intelligent system has become the kernel science and technology of promoting automation. Example of research and application in pattern recognition and intelligent system is described, from which we can know the overseas development status. In the end, challenge and countermeasure of automatization in China are presented.

关键词： Automation

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A new surface reconstruction method from series of contours

A new surface reconstruction method from series of contours

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Visualization and Optimization Techniques

作者： Wang, Zheng Yang, Xin Shi, Pengfei Image Proc. Pattern Recognition Inst Shanghai Jiaotong University Shanghai 20030 China

In the paper, we present a new surface rendering method using a modified contour matching algorithm. The algorithm is based on the invariance of curvature after rotating or displacement. Using the description of contour by curvature, the problem of contour matching in 2D is converted into a 1D problem. Therefore it decreases the computational cost. In the computing, we compared two kinds of numerical algorithms, i.e. predictor-corrector scheme and successive over relaxation (SOR). Finally, we introduce a 3D surface rendering procedure employing the contour matching.

关键词： image reconstruction

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Fitting of a Closed Planar Curve Representing a Profile of an Archaeological Fragment 01

Fitting of a Closed Planar Curve Representing a Profile of a...

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proceedings VAST 2001 Virtual Reality, Archeology, and Cultural Heritage

作者： Hlavackova-Schindler, Kateřina Kampel, Martin Sablatnig, Robert Pattern Recog./Image Proc. Group Inst. of Computer Aided Automation Vienna University of Technology Favoritenstraße 9/1832 A-1040 Vienna Austria

ISBN: (纸本)1581134479

Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification of ceramics. The basis for classification and reconstruction of ceramics is the profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry, and can be represented by a closed curve in the plane. This paper compares and combines several methods for interpolation and approximation of a closed curve by B-splines in the plane. The closed curve, representing the profile, is divided into several parts for which the most accurate method is selected. All the interpolation and approximation methods are compared on the provided data with respect to the achieved precision and 'complexity' of the curve description. The graphical output of the program suggests to the archaeologists, which combination of these methods gives the best representation of the reconstructed profile from the data under the smallest possible error and the simplest possible spline representation.

关键词： Ceramic materials

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Software development system for fuzzy control

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Robotica 2000年第4期18卷 375-380页

作者： Yang, Jie Guo, Yingkai Huang, Xin Inst. Image Proc. and Pattern Recog. Shanghai Jiao-Tong University Shanghai 200030 China

Fuzzy control has been widely applied in industrial controls and domestic electrical equipment. The automatic learning of fuzzy rules is a key technique in fuzzy control. In this paper, a software development system for fuzzy control is presented. Since the learning of fuzzy rules can be seen as finding the best classifications of fuzzy memberships of input-output variables in a fuzzy controller, it can also be seen as the combination optimization on input-output fuzzy memberships. Multi-layer feedforward network and genetic algorithms (GA) can be used for the automatic learning of fuzzy rules. The algorithms and their characteristics are described. The software development system has been successfully used for the design of some fuzzy controllers.

关键词： Fuzzy control

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Application of a genetic algorithm in triangulation of a 3-D object surface

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International Journal of Computers and Applications 2000年第2期22卷 73-77页

作者： Zhenyu, Chen Mbede, J.B. Yan, Zhou Dehua, Li Hanping, Hu State Commn. Res. Open Lab. Image P. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Intelligent Contr. and Robotics Lab. Dept. of Contr. Sci. and Engineering Huazhong Univ. of Sci. and Technol. 430074 Wuhan China Second Artillery Institute Huazhong Univ. of Sci. and Technol. Inst. Pattern Recog. Artif. Intell. Huazhong Univ. of Sci. and Technol. Second Artillery Institute China Wuhan University China Artificial Intelligence Department University of Edinburgh Inst. of AI and Pattern Recognition Huazhong Univ. of Sci. and Technol. China Cogn. Sci. Natl. Key Found. Res. P. Douala University Cameroon Tübingen University Germany Automatic Control Laboratory Darmstadt University Department of Service Cameroon Min. of National Education Robotics Laboratory Huazhong Univ. of Sci. and Technol. Wuhan China Assoc. Connectionnistes These-ACTH Rennes France IEEE Soc. of Robotics and Automation IEEE Society of Control Systems IASTED Assoc. Jeunes Chercheurs Robotique France Navy University of Engineering China Huazhong Univ. of Sci. and Technol. China Department of Computer Science Airforce Radar Acad. of Engineering China Inst. of P.R and AI Huazhong Univ. of Sci. and Technol.

This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.

关键词： Object recognition

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A Region-Based Representation of images in MARS

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Journal of VLSI Signal processing Systems for Signal, image, and Video Technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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