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IEEE Symposium on Parallel and Large-Data Visualization and graphics (PVG)

作者： R. Bruckschen F. Kuester B. Hamann K.I. Joy Visualization and Graphics Research Group Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis CA USA Visualization and Interactive Systems Group Department of Electrical and Computer Engineering University of California Irvine CA USA

ISBN: (纸本)0780372239

Visualization of particle traces provides intuitive and efficient means for the exploration and analysis of complex vector fields. The paper presents a method suitable for the real-time visualization of arbitrarily large time-varying vector fields in virtual environments. We describe an out-of-core scheme in which two distinct pre-processing and rendering components enable real-time data streaming and visualization. The presented approach yields low-latency application start-up times and small memory footprints. The described system was used to implement a "volumetric fog lance," which can emit up to 60000 particles into a flow field while maintaining an interactive frame rate of 60 frames per second. All algorithms were specifically designed to support commodity hardware. The proof-of-concept system is running on a low-cost Linux workstation equipped with a 120 GB E-IDE RAID (redundant array of inexpensive disk) system.

关键词： Data visualization Computational modeling Computational fluid dynamics Motion pictures Hardware computer graphics Interactive systems image processing computer science image analysis

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Color image-based angular map-driven snakes

Color image-based angular map-driven snakes

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IEEE International Conference on image processing

作者： A. Dumitras A.N. Venetsanopoulos Speech and Image Processing Services Research Laboratory AT and T Research Laboratories Middletown NJ USA The Edward Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada

We propose a method for shape description of objects in color images. Our method employs angular maps to identify significant changes of color within the image, which are then used to drive snake models. Experimental results show that our angular map-driven snake method not only yields an accurate description of an object shape, but also it is computationally efficient.

关键词： Color Shape image edge detection Laplace equations Laboratories Speech processing image processing USA Councils image retrieval Animation

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computer graphics in Germany

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computer graphics (ACM) 2001年第3期35卷 14-21页

作者： Saupe, Dietmar Alexa, Marc Chesnais, Alain Encarnação, Jose Institut für Informatik Universität Leipzig GRIS Technische Universität Darmstadt University of Leipzig Research Group on Computer Graphics and Image Processing Alias Wavefront 17 bis rue Joseph de Maistre 75018 Paris France Fraunhofer-Institut fuer Graphische Datenverarbeitung Wilhelminenstrasse 7 D-64283 Darmstadt Germany 3D Graphics Computing Department of Computer Science Technische Universität Darmstadt

The various institution and developments in the field of computer graphics in Germany is discussed. The German research Foundation( DFG), as recognition of research in computer graphics, sponsors a special interdisciplinary graduates study program on 3D image analysis and synthesis at the University of Erlangen-Nuremburg. The German Association for Informatics, founded in 1983, brings together about 40 representatives from Universities, colleges and industry that co-ordinate activities form five subgroups specializing in foundations and systems, imaging and visualization, graphical user interfaces, simulation and animation, and geometric modeling. Several companies and forums working in the area of computer graphics are situated in Darmstadt.

关键词： computer graphics

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A spreadsheet interface for visualization exploration 00

A spreadsheet interface for visualization exploration

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Proceedings of the conference on Visualization '00

作者： T. J. Jankun-Kelly Kwan-Liu Ma Computer Science Department Visualization and Graphics Research Group. Center for Image Processing and Integrated Computing University of California Davis CA

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Digital topology of sets of convex voxels

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Graphical Models 2000年第5期62卷 343-352页

作者： Saha, Punam K. Rosenfeld, Azriel Medical Image Processing Group University of Pennsylvania Philadelphia PA 19104-6021 United States Computer Vision Laboratory Center for Automation Research University of Maryland College Park MA 20742-3275 United States

Classical digital geometry deals with sets of cubical voxels (or square pixels) that can share faces, edges, or vertices, but basic parts of digital geometry can be generalized to sets S of convex voxels (or pixels) that can have arbitrary intersections. In particular, it can be shown that if each voxel P of S has only finitely many neighbors (voxels of S that intersect P), and if any nonempty intersection of neighbors of P intersects P, then the neighborhood N(P) of every voxel P is simply connected and without cavities, and if the topology of N(P) does not change when P is deleted (i.e., P is a 'simple' voxel), then deletion of P does not change the topology of S.

关键词： Topology

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Fingerprint enhancement based on the directional filter bank

Fingerprint enhancement based on the directional filter bank

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IEEE International Conference on image processing

作者： S. Park M.J.T. Smith Jun Jae Lee Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA Army Research Laboratory under Cooperative Agreement Computer Engineering Dong Seo University busan South Korea

Fingerprints have been used as a means to identify individuals uniquely for a very long time in various situations. In order to achieve robust performance of an automatic fingerprint identification/verification system, it is essential to be associated with a fingerprint enhancement algorithm in the minutiae extraction stage. We present a novel fingerprint enhancement system based on the directional filter bank. The directional filter bank is a maximally decimated filter bank with perfect reconstruction property that is able to decompose wedge-shape frequency components by using an 1-D filter prototype. By using the newly improved visualizable subbands in addition to the previous features of the directional filter bank, an efficient enhancement can be achieved in terms of both computation and memory saving.

关键词： Fingerprint recognition Filter bank image matching Feature extraction Signal processing image processing Sparks Robustness image reconstruction Frequency

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Video image retrieval on the basis of subregional co-occurrence matrix texture features and normalised correlation

Video image retrieval on the basis of subregional co-occurre...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Kyuheon Kim Seyoon Jeong Byung Tae Chun Jae Yeon Lee Younglae Bae Image Processing Department Computer Software Technology Laboratory Electronics and Telecommunications Research Institute Daejeon South Korea

This paper proposes the simple and efficient image retrieval algorithm using subregional texture features. In order to retrieve images in terms of its contents, it is required to obtain a precise segmentation. However, it is very difficult and takes a long computing time. Therefore, this paper proposes a simple segmentation method, which is to divide an image into high and low entropy regions by using picture information measure (PIM). Also, in order to describe texture characteristics of each region, this paper suggests six different texture features produced on the basis of co-occurrence matrix. For an image retrieval system, a normalised correlation is adopted as a similarity function, which is not dependent on the range of each texture feature values. Finally, this proposed algorithm is applied to various images and produces competitive results.

关键词： image retrieval image segmentation Multimedia databases Information retrieval Content based retrieval Entropy image databases image processing Telecommunication computing Software

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Entropy and color correlation for image indexing

Entropy and color correlation for image indexing

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IEEE International Conference on Systems, Man and Cybernetics

作者： Se Yoon Jeong Kyuheon Kim Byung Tae Chun Jae Yeon Lee Y.L.J. Bae Department of Image Processing Electronics and Telecommunications Research Institute Computer and Software Technology Laboratory Taejon South Korea

This paper presents a new indexing system, which divides an image into higher and lower entropy regions, and calculates the color correlation features between each type of region. Thus, we can improve the discrimination power of color indexing techniques. The indexing system proposed in this paper has three important properties. The first is an entropy feature. An image is divided by an entropy feature into two regions, lower and higher entropy regions in order to avoid the problems caused by general global features. The second is a color correlation feature. This paper uses 2-dimensional probability distribution functions of an image to obtain color moment features, and thus, obtain more information than using 1-dimensional probability distribution functions (i.e. histogram). The last is the retrieval procedure consisting of two steps: firstly, a simple retrieval algorithm is applied to all the images in a database, and secondly, only the results of the previous retrieval are searched. Thus, it can help in reducing the total retrieval time and improving the retrieval accuracy.

关键词： Entropy Indexing Histograms image retrieval Information retrieval Probability distribution Moment methods image databases Spatial databases image processing

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Efficient video images retrieval by using local co-occurrence matrix texture features and normalised correlation

Efficient video images retrieval by using local co-occurrenc...

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IEEE Region 10 International Conference TENCON

Since multimedia data is widely used in many fields, research is needed on how to search that data. As a method of retrieving multimedia data, especially for image data, content based image retrieval (CBIR) systems have obtained lots of interest. In order to develop CBIR systems, many different properties of an image have been considered for methods of retrieving image data such as colour, texture, shape, etc. The paper proposes a simple and efficient image retrieval algorithm, which retrieves images on the basis of subregional texture characteristics. In order to retrieve images in terms of contents, it is in general required to obtain a precise segmentation. However, it is very difficult and takes a lot of computing time for precise segmentation. Therefore, the proposed algorithm subdivides an image in terms of a certain sized windows, and finds out whether an image contains a query pattern on the basis texture features. Also, these texture features are described by only six different texture features produced from a co-occurrence matrix. For an image retrieval system, a normalised correlation is adopted as a similarity function, which is not dependent on the range of texture feature values. Finally, the proposed algorithm is applied to various images and produces competitive results.

关键词： image retrieval Information retrieval Content based retrieval image segmentation Multimedia databases Multimedia systems Shape image processing Telecommunication computing Software

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An effective method for combining multiple features of image retrieval

An effective method for combining multiple features of image...

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IEEE Region 10 International Conference TENCON

作者： Seyoon Jeong Kyuheon Kim Byungtae Chun Jaeyeon Lee Y.J. Bae Department of Image Processing Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute Taejon South Korea

We propose an image retrieval system using the Borda count method in combining multiple experts (CME). It combines color-, shape- and texture-based retrieval systems. CME method can complementarily combine results of each retrieval system, which uses different features. There are some problems when the Borda count method in pattern recognition is applied to image retrieval. Thus, we propose a modified Borda count method to solve these problems. In the experiment our method reduces false positive errors and produces better results than that of each retrieval module that uses only one feature.

关键词： image retrieval Pattern recognition Shape Equations Fuzzy neural networks image processing Telecommunication computing Software Laboratories Content based retrieval

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