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检索条件"主题词=Algorithm Development"

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ADAPTING FDDI TO GIGABIT TRANSMISSION RATES

ADAPTING FDDI TO GIGABIT TRANSMISSION RATES

引用

2ND CONF ON HIGH-SPEED FIBER NETWORKS AND CHANNELS

作者： DOBOSIEWICZ, W GBURZYNSKI, P Univ. of Alberta (Canada)

ISBN: (纸本)0819409634

The FDDI ring-protocol combination is well-suited for large local (`campus') area networks. However, for larger networks, FDDI users suffer excessive access delay, even under very light traffic. Moreover, FDDI achieves full capacity only in special circumstances, and heavy load is not a sufficient condition for achieving it. We propose a modification of FDDI that has none of these deficiencies. By changing the interpretation of holding the token, we get a protocol that allows every station to transmit when the link is silent. The resulting token-passing protocol yields a capacity-1 network even for modest values of TTRT. Additionally, stations endure a very small access delay under light load. All the other properties are identical to those of FDDI. The proposed protocol uses standard FDDI components. Moreover, the protocol is compatible with FDDI to the point that it works correctly even if some of the stations attached to it operate under the original FDDI protocol (those stations will get the performance offered by FDDI, while the stations using the new protocol will get a larger bandwidth and a lesser access delay).

关键词： Local area networks Receivers Information operations Failure analysis algorithm development Clocks Palladium Solar concentrators Transmitters Visualization

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EFFICIENT EDGE-DETECTION BY SCALE ADAPTATION AND RECURSIVE HALF-SPACE FILTERING

EFFICIENT EDGE-DETECTION BY SCALE ADAPTATION AND RECURSIVE H...

引用

Conference on Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data

作者： CRAWFORD, MM LAU, PF UNIV TEXAS DEPT MECH ENGNAUSTINTX 78712

ISBN: (纸本)0819411744

A new edge detection algorithm has been developed and implemented that has both good speed and accuracy properties. The accuracy of the approach is derived from scale adaptation through anisotropic diffusion. The speed of the filter is based on recursive filtering. Specifically, the algorithm is implemented through a decomposition of the recursive filter into a convolution of two independent half space filters. This further improves the speed of the recursive filter and facilitates scale adaptation. The resulting algorithm is 1 - 2 orders of magnitude faster than comparable Gaussian based frequency domain and spatial domain methods. The new filter is omni-directional and super-elongated. It is also contour following, has computational complexity which is independent of scale, and has no truncation noise. The algorithm has been implemented and successfully applied to SPOT XS and Landsat MSS and TM imagery as one component of a region based image segmentation scheme.

关键词： Digital filtering Convolution Edge detection Image segmentation Diffusion algorithm development Image filtering Anisotropic diffusion Detection and tracking algorithms Smoothing

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DATA FUSION THROUGH SIMULATED ANNEALING OF REGISTERED RANGE AND REFLECTANCE IMAGES

DATA FUSION THROUGH SIMULATED ANNEALING OF REGISTERED RANGE ...

引用

CONF ON SENSOR FUSION AND AEROSPACE APPLICATIONS

作者： BECKERMAN, M SWEENEY, FJ Oak Ridge National Lab. (United States)

ISBN: (纸本)0819411922

In this paper we present results of a study of registered range and reflectance images acquired using a prototype amplitude-modulated cw laser radar. Ranging devices such as laser radars represent new technologies which are being applied in aerospace, nuclear and other hazardous environments where remote inspections, 3D identifications, and measurements are required. However, data acquired using devices of this type may contain non-stationary, signal- dependent noise, range-reflectance crosstalk, and low-reflectance range artifacts. Low level fusion algorithms play an essential role in achieving reliable performance by handling the complex noise, systematic errors, and artifacts. The objective of our study is the development of a stochastic fusion algorithm which takes as its input the registered image pair and produces as its output a reliable description of the underlying physical scene in terms of locally smooth surfaces separated by well-defined depth discontinuities. To construct the algorithm we model each image as a set of coupled Markov random fields representing pixel and several orders of line processes. Within this framework we (i) impose local smoothness constraints, introducing a simple linearity property in place of the usual sums over clique potentials; (ii) fuse the range and reflectance images through line process couplings; and (iii) use nonstationary, signal- dependent variances, adaptive thresholding, and a form of Markov natural selection. We show that the resulting algorithm yields reliable results even in worst-case scenarios.

关键词： Reflectivity Image fusion Fusion energy Image processing Sensor fusion Aerospace engineering Data fusion algorithm development LIDAR algorithms

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INTEGRATING VISUAL MODULES - A BAYESIAN-APPROACH

INTEGRATING VISUAL MODULES - A BAYESIAN-APPROACH

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CONF ON SENSOR FUSION AND AEROSPACE APPLICATIONS

作者： LIM, KG PRAGER, R Cambridge Univ. (United Kingdom)

ISBN: (纸本)0819411922

We present a new method using the Bayesian approach and a Markov random field (MRF) model of integrating several low level visual modules. Using this approach, we have shown how results from an edge based stereo module can be integrated with an intensity based stereo algorithm. In another example, results from a shape from shading module are combined with intensity based stereo. We first derive the intensity based stereo algorithm using the MRF model. The integration is then performed by coupling the results from other modules to the energy functional of the MRF associated with the intensity based stereo. The maximum a prosteriori (MAP) estimate of the resulting MRF is obtained using the mean field annealing algorithm. Results from real and artificial images show a consistent improvement in the accuracy after integration.

关键词： Fusion energy Magnetorheological finishing Visualization Annealing Sensor fusion Visual process modeling algorithm development algorithms Image fusion Image processing

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QUANTIFYING THE SUPERRESOLUTION CAPABILITIES OF THE CLEAN IMAGE-PROCESSING algorithm 15

QUANTIFYING THE SUPERRESOLUTION CAPABILITIES OF THE CLEAN IM...

引用

CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 15

作者： HUNT, BR Univ. of Arizona (United States)

ISBN: (纸本)0819409448

The problem of image restoration has an extensive literature (e.g.J1^^’^) and can be expressed as the solution of an integral equation of the first kind. Conventional linear restoration methods reconstruct spatial frequencies below the diffraction-limited cutoff of the optical aperture. Nonlinear methods, such as maximum entropy^, have the potential to reconstruct frequencies above the diffraction limit. Reconstruction of information above diffraction we refer to as super-resolution. Specific algorithms developed for super-resolution are the iterative algorithms of Gerchbergf5! and Papoullis^, the maximum likelihood method of Holmes^, and the Poisson maximum-a-posteriori algorithm of Hunrf8^. The experimental results published with these algorithms show the potential of super-resolution, but are not as satisfactory as an analytical treatment. In the following we present a model to quantify the capability of super-resolution, and discuss the model in the context of the well-known CLEAN algorithm.

关键词： Super resolution Sensors Photons algorithm development Point spread functions Image processing Error analysis Reconstruction algorithms Signal to noise ratio Diffraction

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OBJECT RECOGNITION USING FUZZY SET-THEORETIC TECHNIQUES 2

OBJECT RECOGNITION USING FUZZY SET-THEORETIC TECHNIQUES

引用

2ND INTERNATIONAL CONF ON ADAPTIVE LEARNING SYSTEMS

作者： MALAVIYA, A MALAVIYA, P German National Research Ctr. for Computer Science (United States) Univ. of Maryland (United States)

ISBN: (纸本)0819411981

In this paper state of the art of the fuzzy logic based visual object recognition systems are discussed. One of the major objectives of the computer vision is to recognize various objects from images. Application of fuzzy logic facilitates the smooth translation of ambiguous image information into natural language which can be processed by fuzzy set theory. Various methods of fuzzy object recognition are presented. Some rule based techniques are mentioned to show the applicability of object recognition in consumer electronics. A brief summary of fusion with neural networks and genetic algorithms is given.

关键词： Fuzzy logic Object recognition Prototyping Detection and tracking algorithms Image segmentation Edge detection algorithm development Image processing Neural networks Image understanding

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DESIGN AND ANALYSIS OF AN INFORMATION-THEORETIC algorithm FOR VECTOR FIELD SEGMENTATION

DESIGN AND ANALYSIS OF AN INFORMATION-THEORETIC ALGORITHM FO...

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CONF ON IMAGE MODELING

作者： KERFOOT, IB BRESLER, Y Univ. of Illinois/Urbana-Champaign (United States)

ISBN: (纸本)081941137X

We present several objective functions for vector field segmentation. Leclerc's MRF model is extended by the addition of information-theoretic penalties for regions and distinct means. Massively parallel optimization algorithms are presented. Standard methods of signal detection and estimation are used to develop a theoretical performance analysis, which quantitatively predicts the performance at realistic noise levels. Theoretical and experimental results agree fairly well.

关键词： Image segmentation Optimization (mathematics) algorithms algorithm development Image processing algorithms and systems Information operations Phase modulation Quantization Receivers Standards development

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CURVE-FITTING THAT MINIMIZES THE MEAN-SQUARE OF PERPENDICULAR DISTANCES FROM SAMPLE POINTS 2

CURVE-FITTING THAT MINIMIZES THE MEAN-SQUARE OF PERPENDICULA...

引用

Vision Geometry II Conference

作者： AKAHO, S ELECTROTECH LAB MATH INFORMAT SECTTSUKUBAIBARAKI 305JAPAN

ISBN: (纸本)0819413259

This paper presents a new method of curve-fitting to a set of noisy samples. In the case of fitting a curved line (or a curved surface) to given sample points, it seems natural the curve is decided so as to minimize the mean square of perpendicular distances from the sample points. However, it is difficult to get the optimal curve in the sense of this criterion. In this paper, the perpendicular distance is approximated by local linear approximation of function, and the algorithm for getting the near-optimal curve is proposed. Some simulation results are also shown.

关键词： Vision geometry Computer simulations Image processing Information science algorithm development Radon Laser induced plasma spectroscopy Reliability Statistical modeling Visual process modeling

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ROBUST SHAPE RECONSTRUCTION FROM COMBINED SHADING AND STEREO INFORMATION 15

ROBUST SHAPE RECONSTRUCTION FROM COMBINED SHADING AND STEREO...

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CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 15

作者： LEE, KM KUO, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819409448

In this research, we first show that single-image shape from shading (SFS) algorithms share an inherent limitation in the accuracy of reconstructed surfaces due to the property of the reflectance map. That is, surface orientations can be accurately recovered if they lie along the gradient direction of the reflectance map function, but cannot be easily recovered if lying along the tangential direction. Then, we consider two methods which incorporate stereo information with shading to improve the performance. One is to use multiple images taken under different lightening conditions known as photometric stereo, and the other is to incorporate the height information obtained from images taken from different viewing angles known as the geometric stereo. With photometric stereo, we compensate the weakness of each reflectance map by combining several reflectance maps in a proper way in the gradient space and hence improve the accuracy of the results. With geometric stereo, absolute heights at sparse feature points are obtained and used as constraints on the resulting surface so that the ambiguity can be resolved. Simulation results for several test images are given to show the performance of our new robust algorithms.

关键词： Reflectivity Reconstruction algorithms Digital image processing 3D image processing Light sources and illumination Chemical elements Image processing algorithm development Cameras Computer simulations

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IMAGE COMPONENT LABELING USING LOCAL OPERATORS 4

IMAGE COMPONENT LABELING USING LOCAL OPERATORS

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4TH CONF ON IMAGE ALGEBRA AND MORPHOLOGICAL IMAGE PROCESSING

作者： SHI, HC RITTER, GX Univ. of Florida (United States)

Binary image component labeling is a fundamental process in image processing and computer vision. This paper presents several image component labeling algorithms with local operators expressed in the language of image... 详细信息

ISBN: (纸本)0819412791

关键词： Binary data Image processing Image storage Machine vision Adaptive optics Computer vision technology Image analysis Silicon algorithm development Image visualization

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