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检索条件"主题词=Algorithm development"

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PHASE AND AMPLITUDE RECONSTRUCTION OF HIGH-POWER DFB SEMICONDUCTOR-LASER DIODE FROM THE STUDY OF ITS OUTPUT POWER

PHASE AND AMPLITUDE RECONSTRUCTION OF HIGH-POWER DFB SEMICON...

引用

CONF ON OPTOELECTRONIC DEVICES AND APPLICATIONS

作者： RAHNAVARD, MH DABIRI, D Shiraz Univ. (United States)

ISBN: (纸本)0819403997

In this paper a general theory for a class of phase retrieval problems of two dimensional band limitted objects has been developed. A modified form of polynomial di- 1Tision algorithm is used to solve problem. A new algorithms for latent reference point problem is considered and its extension to cases in which reference point can move in object plane is also considered. In order to do this shear interfernnetric method is used. A new algorithm for sloving the problem with rectangular object has also been developed.

关键词： Optoelectronic devices algorithm development Phase retrieval Diodes Fourier transforms High power lasers Semiconductor lasers Diffraction Holography Reconstruction algorithms

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algorithm EVALUATION FOR AN INFRARED TARGET DETECTION TEST-BED

ALGORITHM EVALUATION FOR AN INFRARED TARGET DETECTION TEST-B...

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CONF ON SIGNAL AND IMAGE PROCESSING SYSTEMS PERFORMANCE EVALUATION

作者： LITHOPOULOS, E BENDER, E BRONSKILL, J HEPBURN, J Honeywell Ltd. (Canada)

ISBN: (纸本)081940361X

As part of the development of a real-time JR target processor test bed, a number of image processing algorithms were developed, simulated in software, and evaluated for implementation. algorithms performing image pre-processing, target localization, segmentation and target/clutter discrimination were evaluated using an IR image data base. The algorithms selected are being implemented on the test bed using commercially available board-level components, and are capable of pmcessing imagery at real-time rates (30 frames/see).

关键词： Detection and tracking algorithms Image segmentation Image processing algorithm development Image processing algorithms and systems Target detection Infrared imaging Signal processing Software development Cerium

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DESIGN AND IMPLEMENTATION OF MOMENT INVARIANTS FOR PATTERN-RECOGNITION IN VLSI

DESIGN AND IMPLEMENTATION OF MOMENT INVARIANTS FOR PATTERN-R...

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CONF ON HYBRID IMAGE AND SIGNAL PROCESSING 2

作者： ARMSTRONG, GA SIMPSON, ML BOULDIN, DW Oak Ridge National Lab. (United States) Univ. of Tennessee (United States)

ISBN: (纸本)0819403482

This paper describes the design of a very large scale integration (VLSI) application specific integrated circuit (ASIC) for use in pattern recognition. The pattern recognition scheme uses Hu1 and Mailra''s2 algorithms for moment invariants. A prototype design was generated that resolved the long delay time of the multiplier by custom designing adder cells based on the Manchester carry chain. Use of the Manchester carry chain effectively incorporated the lookahead carry function into the adder cells. The prototype ASIC is currently being fabricated in 2. 0-mm compiled simulator for metal oxide semiconductor (CMOS) technology (simulated at 20 MHz). The prototype consisted of a 4x8 multiplier and a 12-bit accumulator stage. The present ASIC design consists of a 9x26 multiplier (maximum propagation time of 50 ns) and a 48-bit accumulator stage. The final ASICs will be used in parallel at the board level to achieve the 56 MegaPixels/s [230 million operations per second (MOPs)] necessary to perform the moment invariant algorithms in real time on 512x512 pixel images with 256 grey scales. 2.

关键词： Clocks Image processing Prototyping Pattern recognition Signal processing Very large scale integration algorithm development Detection and tracking algorithms Transistors Imaging systems

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GENERATION OF SIGNATURE DATABASES WITH FAST CODES

GENERATION OF SIGNATURE DATABASES WITH FAST CODES

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CONF ON CHARACTERIZATION, PROPAGATION, AND SIMULATION OF INFRARED SCENES

作者： BRADFORD, RA WOODLING, AE BRAZZELL, JS Teledyne Brown Engineering (United States) U.S. Army Strategic Defense Command (United States)

ISBN: (纸本)0819403628

Using the FASTSIG signature code to generate optical signature databases for the Ground-based Surveillance and Traking System (GSTS) Program has improved the efficiency of the database generation process. The goal of the current GSTS database is to provide standardized, threat representative target signatures that can easily be used for acquisition and trk studies, discrimination algorithm development, and system simulations. Large databases, with as many as eight interpolalion parameters, are required to maintain the fidelity demands of discrimination and to generalize their application to other strateg systems. As the need increases for quick availability of long wave infrared (LWIR) target signatures for an evolving design4o-threat, FASTSIG has become a database generation alternative to using the industry standard OptiCal Signatures Code (OSC). FASTSIG, developed in 1985 to meet the unique strategic systems demands imposed by the discrimination function, has the significant advantage of being a faster running signature code than the OSC, typically requiring two percent of the cpu time. It uses analytical approximations to model axisymmetric targets, with the fidelity required for discrimination analysis. Access of the signature database is accomplished through use of the waveband integration and interpolation software, INTEG and SIGNAT. This paper gives details of this procedure as well as sample interpolated signatures and also covers sample verification by comparison to the OSC, in order to establish the fidelity of the FASTSIG generated database.

关键词： Databases Infrared signatures Infrared radiation Sensors Error analysis Long wavelength infrared algorithm development Clouds Scene simulation Solids

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VISUALIZING COMPLEX HYDRODYNAMIC FEATURES

VISUALIZING COMPLEX HYDRODYNAMIC FEATURES

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CONF ON EXTRACTING MEANING FROM COMPLEX DATA : PROCESSING, DISPLAY, INTERACTION

作者： KEMPF, JL MARSHALL, RE YEN, CC Ohio Supercomputer Graphics Project (United States) Ohio State Univ. (United States)

ISBN: (纸本)0819403067

The Lake Erie Forecasting System is a cooperative project by university, private and governmental institutions to provide continuous forecasting of three-dimensional structure within the lake. The forecasts will include water velocity and temperature distributions throughout the body of water, as well as water level and wind-wave distributions at the lake's surface. Many hydrodynamic features can be extracted from this data, including coastal jets, large-scale thermocline motion and zones of upwelling and downwelling. A visualization system is being developed that will aid in understanding these features and their interactions. Because of the wide variety of features, they cannot all be adequately represented by a single rendering technique. Particle tracing, surface rendering, and volumetric techniques are all necessary. This visualization effortis aimed towards creating a system that will provide meaningful forecasts for those using the lake for recreational and commercial purposes. For example, the fishing industry needs to know about large-scale thermocline motion in order to find the best fishing areas and power plants need to know water intAke temperatures. The visualization system must convey this information in a manner that is easily understood by these users. Scientists must also be able to use this system to verify their hydrodynamic simulation. The focus of the system, therefore, is to provide the information to serve these diverse interests, without overwhelming any single user with unnecessary data.

关键词： Visualization Particles Opacity Data modeling algorithm development Data conversion 3D displays 3D image processing Civil engineering Feature extraction

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SPATIAL DOMAIN algorithm FOR VIDEO-TO-PRINTING IMAGE-RESOLUTION CONVERSION

SPATIAL DOMAIN ALGORITHM FOR VIDEO-TO-PRINTING IMAGE-RESOLUT...

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CONF ON IMAGE COMMUNICATIONS AND WORKSTATIONS

作者： XUE, KF WINANS, A ZHANG, CL Wright State Univ. (United States)

ISBN: (纸本)0819403059

It has become increasingly important to get high quality prints from TV or other video signals in the desktop publishing and multi-media environment. Normally, a video signal has very low spatial resolution compared with the spatial resolution of printing devices. Hard copy from direct printing of a video signal is usually very poor in quality. To improve the video signal spatial resolution for printing, the algorithm presented in this paper applies an adaptive spatial interpolation technique to the video signal. The algorithm is based on a computer graphics curve-fitting algorithm with the addition of edge-restricted interpolation to sharpen edges and to enhance image details. Therefore, the new interpolation algorithm will not only improve the spatial resolution but also improve the sharpness of the printed image. In this paper, the aspects of theoretical development of the new algorithm will be discussed and some simulation results will be shown and evaluated to present the effect of the algorithm.

关键词： Video Image processing algorithm development Printing Spatial resolution Image enhancement Image interpolation Image resolution algorithms Computer simulations

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DETERMINING WATERSHEDS IN DIGITAL PICTURES VIA FLOODING SIMULATIONS

DETERMINING WATERSHEDS IN DIGITAL PICTURES VIA FLOODING SIMU...

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CONF ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING 90

作者： SOILLE, P VINCENT, L Ecole des Mines de Paris (France)

ISBN: (纸本)0819404217

The watershed transformation is a very powerful image analysis tool provided by mathematical morphology. However, most existing watershed algorithms are either too time consuming or insufficiently accurate. The purpose of this paper is to introduce a new and flexible implementation of this transformation. It is based on a progressive flooding of the picture and it works for n-dimensional images. Pixels are first sorted in the increasing order of their gray values. Then, the successive gray levels are processed in order to simulate the flooding propagation. A distributive sorting technique combined with breadth-first scannings of each gray level allow an extremely fast computation. Furthermore, the present algorithm is very general since it deals with any kind of digital grid and its extension to general graphs is straightforward. Its interest with respect to image segmentation is illustrated by the extraction of geometrical shapes from a noisy image, the separation of 3-dimensional overlapping particles and by the segmentation of a digital elevation model using watersheds on images and graphs.

关键词： Image segmentation Image processing Image processing algorithms and systems Visual communications 3D image processing algorithm development Digital imaging Particles Image analysis Mathematical morphology

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NEURAL NETWORK TECHNOLOGY FOR AUTOMATIC TARGET RECOGNITION

NEURAL NETWORK TECHNOLOGY FOR AUTOMATIC TARGET RECOGNITION

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1ST CONF ON APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS

作者： ROTH, MW Johns Hopkins Univ. (United States)

ISBN: (纸本)0819403458

A brief review is presented of neural network tools for Automatic Target Recognition (ATR) . These tools include collective computation for implementing a variety of computational-vision techniques learning and adaptation for pattern recognition knowledge integration for expert-system capabilities and beyondsupercomputer- level hardware. As a specific example neural networks for stereo vision are introduced as a potentially fruitful approach to ATR. Preliminary results are presented which show substantial performance improvements over previous stereo algorithms for producing accurate dense displacement maps. These maps can be used in turn to derive accurate geometrical shape information that can result in improved recognition performance. 1.

关键词： Neural networks Automatic target recognition Evolutionary algorithms Detection and tracking algorithms Image processing Analog electronics algorithm development Very large scale integration Artificial neural networks Environmental sensing

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RECURSIVE LEAST-SQUARES LEARNING algorithmS FOR NEURAL NETWORKS

RECURSIVE LEAST-SQUARES LEARNING ALGORITHMS FOR NEURAL NETWO...

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CONF ON ADVANCED SIGNAL-PROCESSING algorithmS, ARCHITECTURES, AND IMPLEMENTATIONS

作者： LEWIS, PS HWANG, JN Los Alamos National Lab. (United States) Univ. of Washington (United States)

ISBN: (纸本)0819404098

This paper presents the development of a pair of recursive least squares (ItLS) algorithms for online training of multilayer perceptrons which are a class of feedforward artificial neural networks. These algorithms incorporate second order information about the training error surface in order to achieve faster learning rates than are possible using first order gradient descent algorithms such as the generalized delta rule. A least squares formulation is derived from a linearization of the training error function. Individual training pattern errors are linearized about the network parameters that were in effect when the pattern was presented. This permits the recursive solution of the least squares approximation either via conventional RLS recursions or by recursive QR decomposition-based techniques. The computational complexity of the update is 0(N2) where N is the number of network parameters. This is due to the estimation of the N x N inverse Hessian matrix. Less computationally intensive approximations of the ilLS algorithms can be easily derived by using only block diagonal elements of this matrix thereby partitioning the learning into independent sets. A simulation example is presented in which a neural network is trained to approximate a two dimensional Gaussian bump. In this example RLS training required an order of magnitude fewer iterations on average (527) than did training with the generalized delta rule (6 1 BACKGROUND Artificial neural networks (ANNs) offer an interesting and potentially useful paradigm for signal processing and pattern recognition. The majority of ANN applications employ the feed-forward multilayer perceptron (MLP) network architecture in which network parameters are " trained" by a supervised learning algorithm employing the generalized delta rule (GDIt) [1 2]. The GDR algorithm approximates a fixed step steepest descent algorithm using derivatives computed by error backpropagatiori. The GDII algorithm is sometimes referred to as the

关键词： algorithm development Detection and tracking algorithms Evolutionary algorithms Neural networks Network architectures Artificial neural networks Pattern recognition Chemical elements Machine learning Signal processing

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MULTISPECTRAL (IR AND MMW) PROCESSING FOR AUTOMATIC TARGET DETECTION

MULTISPECTRAL (IR AND MMW) PROCESSING FOR AUTOMATIC TARGET D...

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CONF ON SENSOR FUSION 3

作者： CORBETT, F SWISTAK, J Textron Defense Systems (United States) CECOM (United States)

ISBN: (纸本)0819403571

Automatic Target Recognition algorithms have been developed with limited success over the last few years. The processing to extract military targets from background clutter has difficulty under noisy, real-world conditions. Fusion of data from different wavelength sensors has been one approach to improve performance. The underlying theory is that signature data from different areas of the electro-magnetic spectrum will be complementary and clutter is frequency dependent. Recent work based on both statistical classification, and feature analysis in the thermal infrared and millimeter wave spectra, has shown interesting trends. We will provide a description of the IR/MMW target classification algorithms, the fusion architecture we employed, and processes used to search for the optimum features. Two distinct search and detect schemes were tested with different results. Data acquisition and reduction issues which affect algorithm experiments will also be discussed. A software based algorithm development test-bed was built at Textron to implement the multispectral targeting experiments. The effect of a modular, programmable test-bed on such experiments is to increase productivity and allow multivariate evaluatio ns.

关键词： Extremely high frequency Data fusion algorithm development Automatic target recognition Detection and tracking algorithms Target detection Target recognition Data acquisition Sensor fusion Defense systems

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