检索结果-内蒙古大学图书馆

Segmentation of forward-looking infrared images by genetic algorithm and fuzzy entropy

Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves 2003年第6期22卷 465-468页

作者： Tao, Wen-Bing Tian, Jin-Wen Liu, Jian Lou, Yue Lab. for Image Proc. Huazhong Univ. Sci. and Technol. Wuhan 430074 China Inst. for Pattern Recognition Huazhong Univ. Sci. and Technol. Wuhan 430074 China Inst. of Optics and Precision Mech. Chinese Acad. of Sci. Xi'an 710068 China

A FLIR image segmentation algorithm based on genetic algorithm and fuzzy set theory was presented. The method defines different member function for the object and background of the image to transform the image into fuzzy domain with maximum fuzzy entropy. The proc.dure for finding combination of a, b and c is implemented by genetic algorithm, thresholding image into object and background by maximizing the fuzzy entropy. The experiment results show that our proposed method gives better performance and higher calculation speed than other general methods with good real-time by using genetic algorithm.

关键词： image segmentation

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An object tracking algorithmbased on occlusion mesh model

An object tracking algorithmbased on occlusion mesh model

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proc.edings of 2002 International Conference on Machine Learning and Cybernetics

作者： Zhao, Jian-Wei Wang, Peng Liu, Chong-Qing Inst. Image Proc Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780375084

The concept of occlusion mesh model is introduced. A novel object tracking algorithm based on occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. Mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experiment results indicate that the proposed algorithm is practical and feasible, it can be used to object tracking effectively. Also it solves 2D motion estimation problem existed in occlusion regions and shows better visual performance.

关键词： Algorithms

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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 proc.dure employing the contour matching.

关键词： image reconstruction

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Illumination insensitive eigenspaces

Illumination insensitive eigenspaces

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8th International Conference on Computer Vision

作者： Bischof, H. Wildenauer, H. Leonardis, A. Pattern Recognition and Image Proc. Vienna University of Technology Favoritenstr. 9/1832 1040 Vienna Austria

Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper we propose how to deal with illumination variations in eigenspace methods. We demonstrate that the eigenimages obtained by a training set under a single illumination condition (ambient light) can be used for recognition of objects taken under different illumination conditions. The major idea is to incorporate a set of gradient based filter banks into the eigenspace recognition framework. This can be achieved since the eigenimage coefficients are invariant for linearly filtered images (input and eigenimages). To achieve further illumination insensitivity we devised a robust proc.dure for coefficient recovery. The proposed approach has been extensively evaluated on a set of 2160 images and the results were compared to other approaches.

关键词： Eigenvalues and eigenfunctions

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A generic and robust approach for the analysis of spot array images

A generic and robust approach for the analysis of spot array...

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Microarrays: Optical Technologies and Informatics

作者： Brändle, N. Bischof, H. Lapp, H. Vienna University of Technology Pattern Recognition Image Proc. Grp. Favoritenstr. 9/1832 A-1040 Vienna Austria

We present a generic and robust image analysis approach applicable to image data resulting from a broad class of hybridization experiments. The ultimate image analysis goal is to automatically assign a quantity to every array element (spot), giving information about the hybridization signal. Irrespective of the quantification strategy, the most important preliminary information to extract about a spot is the mapping between its location in the digital image and its position in the spot grid (grid fitting). We present a grid fitting approach divided into a spot amplification step (matched filter), a rotation estimation step (Radon transform) and a grid spanning step. Quantification of the hybridization signals is performed with different fitting approaches. The primary approach is a robust fitting of a parametric model with the help of M-estimators. The main advantage of parametric spot fitting is its ability to cope with overlapping spots. If the goodness-of-fit is too bad, a semi-parametric spot fitting is employed.

关键词： image analysis

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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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proc.edings 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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The path-connectedness in Z2 and Z3 and classical topologies 7th

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7th Joint IAPR International Workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in pattern recognition, SPR 1998

作者： Kropatsch, Walter Pták, Pavel Pattern Recognition and Image Proc. Group – PRIP Vienna University of Technology Treitlstr. 3 183/2 ViennaA-1040 Austria Center for Machine Perception CMP - Czech Technical University Karlovo nám. 13 Praha 2121 35 Czech Republic

ISBN: (纸本)3540648585

The main problem we persue in this paper is the question of when a given path-connectedness in Z2 and Z3 coincides with a topological cormectedness. We answer this question provided the path--connectedness is induced by a homogeneous and symmetric neighbourhood structure. On the way we make a study of topological structures, arguing that the point-neighbourhood formalism can be well applied in the digital picture investigations. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Topology

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A Region-Based Representation of images in MARS

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Journal of VLSI Signal proc.ssing 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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