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Proceedings of the 8th conference on Visualization '97

作者： Tran S. Gieng Bernd Hamann Kenneth I. Joy Gregory L. Schussman Issac J. Trotts Center for Image Processing and Integrated Computing Department of Computer Science University of California Davis

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An Edge-Preserving, Data-Dependent Triangulation Scheme for Hierarchical Rendering

An Edge-Preserving, Data-Dependent Triangulation Scheme for ...

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IEEE Scientific Visualization Conference (SciVis)

作者： J.C. Barnes B. Hamann K.I. Joy Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA USA

In many applications one is concerned with the approximation of functions from a finite set of given data sites with associated function values. We describe a construction of a hierarchy of triangulations which approximate the given data at varying levels of detail. Intermediate triangulations can be associated with a particular level of the hierarchy by considering their approximation errors. This paper presents a new data-dependent triangulation scheme for multi-valued scattered data in the plane. We perform piecewise linear approximation based on data-dependent triangulations. Our scheme preserves edges (discontinuities) that might exist in a given data set by placing vertices close to edges. We start with a coarse, data-dependent triangulation of the convex hull of the given data sites and subdivide triangles until the error of the piecewise linear approximation implied by a triangulation is smaller than some tolerance.

关键词： Piecewise linear approximation Scattering Approximation error Rendering (computer graphics) image processing Iterative algorithms Piecewise linear techniques computer science Application software Identity-based encryption

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Multiresolution and Adaptive Rendering Techniques for Structured, Curvilinear Data

Multiresolution and Adaptive Rendering Techniques for Struct...

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IEEE Scientific Visualization Conference (SciVis)

作者： W.C. Wynn J.F. Barnes B. Hamann M. Miller Department of Computer Science North Carolina State University Chapel Hill USA Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis USA Lawrence Livermore National Laboratory University of California USA

In many applications one is concerned with techniques for visualizing data sets with real-time interaction. One technique for providing real-time performance is through the use of multiresolution techniques. These techniques provide multiple representations of a data set at different levels of detail. The idea is to select a level of detail that can be rendered within the user's time constraints. We discuss a mechanism which renders finer-detailed representations where the data set has a high frequency, and coarser representations where the data set has lower frequency. We present a new technique for storing curvilinear data sets within a quadtree representation and discuss two rendering schemes: an anti-aliasing scheme and a scheme for maintaining a specified frame rate.

关键词： computer science Postal services Data visualization image processing Laboratories Rendering (computer graphics) Application software Ear Degradation Robustness

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Cluster-Based Generation of Hierarchical Surface Models

Cluster-Based Generation of Hierarchical Surface Models

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IEEE Scientific Visualization Conference (SciVis)

作者： B. Heckel B. Hamann A.E. Uva Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California Davis CA USA Politecnico di Bari Dipartimento di Progettazione e Produzione Industriale Bari Italy

We present a highly efficient, automatic method for the generation of hierarchical surface triangulations. Given a set of scattered points in three-dimensional space, without known connectivity information, our method reconstructs a valid triangulated surface model in a two-step procedure. First, we apply clustering to the set of given points and identify point subsets in locally nearly planar regions. Second, we construct a surface triangulation from the output of the clustering step. The output of the clustering step is a set of 2-manifold tiles, which locally approximate the underlying, unknown surface. We construct the triangulation of the entire surface by triangulating the individual tiles and triangulating the gaps between the tiles. Since we apply point clustering in a hierarchical fashion we can generate model hierarchies by triangulating various levels resulting from the hierarchical clustering step.

关键词： Surface reconstruction Tiles Electrical capacitance tomography image processing computer science Reconstruction algorithms Scattering image reconstruction Read only memory Data mining

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Correction to "Bond Percolation-Based Gibbs-Markov Random Fields for image Segmentation"

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IEEE Signal processing Letters 1996年第4期3卷 127-127页

作者： I. Hussain T.R. Reed Department of Electrical and Computer Engineering and the Center for Image Processing and Integrated Computing University of California Davis CA USA

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Two applications of wavelets and related techniques in medical imaging

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Annals of Biomedical Engineering 1995年第5期23卷 637-665页

作者： Healy Jr., Dennis M. Lu, Jian Weaver, John B. Department of Mathematics and Computer Science Dartmouth College Hanover 03755 NH United States Center for Image Processing and Integrated Computing University of California Davis CA United States Department of Diagnostic Radiology Dartmouth-Hitchcock Medical Center Lebanon NH United States

We present two applications of wavelet and related techniques to problems arising in medical imaging. Both make considerable use of the edge detection and classification properties of wavelet-type representations. First we describe simple and effective techniques for image denoising and contrast enhancement based on the multiscale edge representation of images. These techniques are sufficiently flexible to successfully address the varying requirements posed by several different medical imaging modalities in common use today. Experimental results are presented to illustrate the application of these techniques to various types of medical images. Next we describe adapted waveform encoding, a technique for magnetic resonance imaging. One advantage of this technique istthat it can be used to efficiently encode edge features of the object being imaged. This has a particular diagnostic application in tracking heart wall thickness during the cardiac cycle, which we present along with some experimental results along this line. We also present an analysis of the signal-to-noise ratios of images formed with this technique, as this is a factor of paramount importance in MRI. The fact that wavelet schemes tend to concentrate energy near edge features makes the result rather different than that found in standard Fourier based approaches. We indicate an exciting potential application of our technique: reducing spectral leakage in phosphorus spectroscopy. © 1995 Biomedical Engineering Society.

关键词： image enhancement Magnetic resonance imaging

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Segmentation-based image compression with enhanced treatment of textured regions 28

Segmentation-based image compression with enhanced treatment...

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28th Asilomar Conference on Signals, Systems and computers, ACSSC 1994

作者： Hussain, Iftekhar Reed, Todd R. Department of Electrical and Computer Engineering Center for Image Processing and Integrated Computing University of California DavisCA95616 United States

ISBN: (纸本)0818664053

This paper presents a method to preprocess an image so that when segmented it yields a partitioning in which textured regions are approximated with a substantially reduced number of uniform regions (which is desirable for the coding). The segmentation method used to form this representation combines a Gaussian texture model and Gibbs-Markov contour model in order to find regions with boundaries which correspond closely to the objects in the image. Given the image segmentation, an approximation to the original image is generated by filling each region with its mean value. If higher quality reconstruction is desired, the quantized approximation error is also encoded. In order to exploit the reduced sensitivity of the human visual system to the error around edges (visual masking), the error is quantized using three nonlinear quantizers corresponding to the smoothly varying, textured, and remaining areas of the image, respectively. © 1995 IEEE.

关键词： Errors

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Segmentation-based image compression with enhanced treatment of textured regions

Segmentation-based image compression with enhanced treatment...

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Asilomar Conference on Signals, Systems & computers

作者： I. Hussain T.R. Reed Department of Electrical & Computer Engineering and the Center for Image Processing and Integrated Computing University of California Davis CA USA

关键词： image segmentation image coding image reconstruction Approximation error image processing image generation Filling Humans Visual system Entropy

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Analysis of texture images using robust fractal description

Analysis of texture images using robust fractal description

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IEEE Southwest Symposium on image Analysis and Interpretation

作者： N. Avadhanam S. Mitra Center for Image Processing & Integrated Computing Department of Electrical & Computer Engineering University of California Davis CA USA Computer Vision and Image Analysis Lab Department of Electrical Engineering Texas Tech University Lubbock TX USA

A maximum likelihood estimation (MLE) method is used to estimate the fractal dimension of a number of natural texture images with and without the presence of noise. An additional texture measure which can be linked to the lacunarity measure is used to characterize natural textures since fractal dimension alone cannot totally characterize texture images. Segmentation of natural textures is successfully achieved by a k-means clustering algorithm using fractal dimension and the additional measure as representative features.< >

关键词： image analysis image texture analysis Robustness Fractals Maximum likelihood estimation image segmentation Polymers image motion analysis computer vision Clustering algorithms

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Texture analysis in the presence of speckle noise 12

Texture analysis in the presence of speckle noise

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12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992

作者： Schistad, Anne H. Jain, Anil K. Norwegian Computing Center P.O. Box 114 Blindern Oslo 3N-0314 Norway Pattern Recognition and Image Processing Lab. Computer Science Department Michigan State University East LansingMI48824 United States

ISBN: (纸本)0780301382

We investigate the performance of selected texture models for the purpose of land use classification. The texture models are evaluated based on the resulting classification error rates. Three classes of texture models are evaluated: fractal models, lognormal random fields and grey level co-occurrence matrices. The effect of filtering and noise transformation is investigated. The lognormal random field model gives the best performance. © IEEE 1992.

关键词： Land use

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