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检索条件"主题词=Algorithm Development"

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AUTOMATIC TRANSPUTER CODE GENERATION FOR FLEXIBLE REAL-TIME VISION SYSTEMS

AUTOMATIC TRANSPUTER CODE GENERATION FOR FLEXIBLE REAL-TIME ...

引用

CONF ON MACHINE VISION APPLICATIONS, ARCHITECTURES, AND SYSTEMS INTEGRATION

作者： SCHWINGSHAKL, G POLZLEITNER, W Joanneum Research (Austria)

ISBN: (纸本)0819410241

In this paper we describe the major aspects in our transputer-based automatic vision system aiming to implement a scaleable and easily reconfigurable system. In this system the mapping of image processing and recognition algorithms to the hardware is facilitated by automatic code generation schemes, separating methodic design and implementation details.

关键词： Image processing Detection and tracking algorithms Pattern recognition algorithm development Feature extraction Image segmentation Image classification Classification systems Image processing algorithms and systems Telecommunications

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COMPUTATIONAL algorithmS FOR DISCRETE WAVELET TRANSFORM USING FIXED SIZE FILTER MATRICES

COMPUTATIONAL ALGORITHMS FOR DISCRETE WAVELET TRANSFORM USIN...

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CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION

作者： BARANIECKI, AZ KARIM, SO George Mason Univ. (United States)

ISBN: (纸本)0819408646

This paper describes matrix based algorithms for computing wavelet transform representations with application to multiresolution analysis. Structure of the algorithm presented is well suited for programming purpose and also for the implementation on VLSI processors. By using overlap-add or overlap-save techniques, constant matrix size can be used to accommodate arbitrary data lengths. Performance of the algorithm described in this paper is illustrated by decomposing an image into details and smoothed components.

关键词： Matrices Wavelets Electronic filtering Linear filtering algorithm development Discrete wavelet transforms Reconstruction algorithms Signal processing Wavelet transforms Very large scale integration

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DATA ASSOCIATION USING FUSED DATA FROM MULTIPLE SENSORS

DATA ASSOCIATION USING FUSED DATA FROM MULTIPLE SENSORS

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CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION

作者： KITTUR, V THOMPSON, WE New Mexico State Univ. (United States)

ISBN: (纸本)0819408646

A data association technique based on the utilization of fused multisensor data which provides a compact description, consisting of both numerical and non - numerical attributes, of the targets present in the surveillance volume. The data association technique is comprised of two processes. The first is the process of seeded clustering --inwhich a cluster is sought around the predicted measurement from the existing track. The data contained in this cluster is fused to obtain a compact description of the targets constituting the cluster. The second is the process of target type matching --in which the target types contained in an existing track are matched with the target types contained in the seeded cluster. The presented method for data association provides a means by which a measure of confidence is assigned to each track (based on the evidence received) and it can be extended in a straight forward manner to handle data association in the context of multi-target tracking.

关键词： Sensors Surveillance Distance measurement Data fusion Electronic filtering Detection and tracking algorithms Data processing algorithm development Data centers Information operations

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OPTIMAL DECOMPOSITION OF ARBITRARY-SHAPED STRUCTURING ELEMENTS INTO NEIGHBORHOOD SUBSETS

OPTIMAL DECOMPOSITION OF ARBITRARY-SHAPED STRUCTURING ELEMEN...

引用

CONF ON APPLICATIONS OF ARTIFICIAL INTELLIGENCE 10 : MACHINE VISION AND ROBOTICS ( PREPRINTS )

作者： JIANG, XY BUNKE, H Univ. Bern (Switzerland)

ISBN: (纸本)0819408735

To efficiently perform morphological operations on neighborhood-processing-based parallel image computers, we need to decompose structuring elements larger than the neighborhood that can be directly handled into neighborhood subsets. In this paper we give an algorithm for the optimal decomposition of arbitrary-shaped structuring elements.

关键词： Thulium Evolutionary algorithms Machine vision Robotics Computing systems Artificial intelligence Binary data Chemical elements algorithm development Knowledge management

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COLOR SPATIAL ACUITY CONTROL OF A SCREEN SUBDIVISION IMAGE SYNTHESIS algorithm 3

COLOR SPATIAL ACUITY CONTROL OF A SCREEN SUBDIVISION IMAGE S...

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CONF ON HUMAN VISION, VISUAL PROCESSING, AND DIGITAL DISPLAY 3

作者： MEYER, GW LIU, A Univ. of Oregon (United States)

ISBN: (纸本)0819408204

The limited color spatial acuity of the human visual system is exploited to develop a more efficient algorithm for realistic image synthesis. A screen subdivision ray tracer is modified to control the amount of chromatic and achromatic detail present at the edges in an environment. An opponents color space (previously used to select wavelengths for synthetic image generation) is used to define the chromatic and achromatic channels present in the image. Computational savings achieved by the algorithm are discussed. A perceptual evaluation shows that image quality is not seriously degraded by the use of the technique.

关键词： Image quality Colorimetry Visualization Receptors Spatial frequencies Visual system algorithm development Human vision and color perception Image processing Realistic image synthesis

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MODAL CHARACTERIZATION OF THE ASCIE SEGMENTED OPTICS TEST BED - NEW algorithmS AND EXPERIMENTAL RESULTS

MODAL CHARACTERIZATION OF THE ASCIE SEGMENTED OPTICS TEST BE...

引用

CONF ON CONTROLS FOR OPTICAL SYSTEMS

作者： CARRIER, A AUBRUN, JN Lockheed Palo Alto Research Lab. (United States)

ISBN: (纸本)0819408611

New frequency response measurement procedures, on-line modal tuning techniques, and off- line modal identification algorithms are developed and applied to the modal identification of the Advanced Structures/Controls Integrated Experiment (ASCIE), a generic segmented optics telescope test-bed representative of future complex space structures. The frequency response measurement procedure simultaneously uses all the actuators to excite the structure and all the sensors to measure the structural response so that all the transfer functions are measured simultaneously. Structural responses to sinusoidal excitations are measured and analyzed to calculate spectral responses. The spectral responses in turn are analyzed as the spectral data become available and, which is new, the results are used to maintain high quality measurements. Data acquisition, processing, and checking procedures are fully automated. As the acquisition of the frequency response progresses, an on-line algorithm keeps track of the actuator force distribution that maximizes the structural response to automatically tune to a structural mode when approaching a resonant frequency. This tuning is insensitive to delays, ill-conditioning, and nonproportional damping. Experimental results show that it is useful for modal surveys even in high modal density regions. For thorough modeling, a constructive procedure is proposed to identify the dynamics of a complex system from its frequency response with the minimization of a least-squares cost function as a desirable objective. This procedure relies on off-line modal separation algorithms to extract modal information and on least-squares parameter subset optimization to combine the modal results and globally fit the modal parameters to the measured data. The modal separation algorithms resolved modal density of 5 modes/Hz in the ASCIE experiment. They promise to be useful in many challenging applications.

关键词： Actuators Sensors Control systems Optimization (mathematics) algorithm development Systems modeling Matrices Complex systems Space telescopes Optical testing

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SONAR FEATURE-BASED BANDWIDTH COMPRESSION

SONAR FEATURE-BASED BANDWIDTH COMPRESSION

引用

CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION

作者： SAGHRI, JA TESCHER, AG Lockheed Palo Alto Research Lab. (United States)

ISBN: (纸本)0819408646

A sonar bandwidth compression (BWC) technique which, unlike conventional methods, adaptively varies the coding resolution in the compression process based on a priori information is described. This novel approach yields a robust compression system whose performance exceeds the conventional methods by factors of 2-to-1 and 1.5-to-1 for display- formatted and time series sonar data, respectively. The data is first analyzed by a feature extraction routine to determine those pixels of the image that collectively comprise intelligence-bearing signal features. The data is then split into a foreground image which contains the extracted source characteristic and a larger background image which is the remainder. Since the background image is highly textured, it suffices to code only the local statistics rather than the actual pixels themselves. This results in a substantial reduction of the bit rate required to code the background image. The feature-based compression algorithm developed for sonar imagery data is also extended to the sonar time series data via a novel approach involving an initial one-dimensional DCT transformation of the time series data before the actual compression process. The unique advantage of this approach is that the coding is done in an alternative two-dimensional image domain where, unlike the original time domain, it is possible to observe, differentiate, and prioritize essential features of data in the compression process. The feature-based BWC developed for sonar data is potentially very useful for applications involving highly textured imagery. Two such applications are synthetic aperture radar and ultrasound medical imaging.

关键词： Image compression Feature extraction algorithm development Image processing Data compression Image quality Logic Signals intelligence Data modeling Fourier transforms

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IMAGING IN DIFFUSING MEDIA WITH A NEURAL NET FORMULATION - A PROBLEM IN LARGE-SCALE COMPUTATION

IMAGING IN DIFFUSING MEDIA WITH A NEURAL NET FORMULATION - A...

引用

CONF ON PHYSIOLOGICAL MONITORING AND EARLY DETECTION DIAGNOSTIC METHODS

作者： SCHLERETH, FH FOSSACECA, JM KECKLER, AD BARBOUR, RL Syracuse Univ. (United States) SUNY/Brooklyn Health Science Ctr. (United States)

ISBN: (纸本)0819407879

Attempts to recover images from objects which diffuse radiation pose an especially challenging problem in terms of defining a suitable reconstruction algorithm and with regard to identifying an appropriate computing environment for efficient processing. In this paper we consider both issues and, in particular, describe results of an algebraic technique for imaging the interior of objects which diffuse penetrating radiation using a new multicomputer environment. Two important issues which arise when considering the numerical solution of ultra large problems are the numerical precision achieved and the overall computing efficiency. Our interest in this problem concerns the possibility of obtaining 3-D optical images of tissue which could identify the availability of oxygen by evaluating oxygen- dependent changes in the near infrared spectrum of hemoglobin. These studies were motivated by recent reports from our group and others, which showed promising results for imaging in dense scattering media given only diffusely scattered signals. In our model we assume the use of an NIR laser to provide the input radiation and suitable detectors to measure both transmission and backscatter. In our present work we assume a simple Markov process model for the way in which the energy travels in the medium, but it should be noted that the reconstruction technique we propose can use any model, including nonlinear as well as linear effects, and higher order processes. Current simulations are in 2-D but the methods are easily extended to 3-D. The algorithms we propose are more closely related to algebraic reconstruction algorithms such as ART, SIRT, and SART than to algorithms based on the Born and Rytov approximations such as used for tomographic imaging with diffracting sources. Our algorithms are a significant departure from those based on these standard algebraic methods. We assume only a probabilistic knowledge of the path of the radiation, and minimal knowledge of the absorption

关键词： Neural networks Absorption Reconstruction algorithms Computing systems Backscatter Scattering Telecommunications algorithm development Image analysis Tomography

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DATA ASSOCIATION FOR TRACK INITIATION AND EXTENSION USING MULTISCAN WINDOWS

DATA ASSOCIATION FOR TRACK INITIATION AND EXTENSION USING MU...

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4TH CONF ON THE SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1992

作者： POORE, AB RIJAVEC, N BARKER, TN Colorado State Univ. (United States) IBM Corp./FSD (United States)

ISBN: (纸本)0819408638

The central problem in multitarget-multisensor tracking is the data association problem of partitioning the observations into tracks and false alarms so that an accurate estimate of the true tracks can be recovered. Many previous and current methodologies are based on single scan processing, which is real-time, but often leads to a large number of partial and incorrect assignments, and thus incorrect track identification. The fundamental difficulty with this approach is that there is simply not enough information in single scan processing to properly partition the observations into tracks and false alarms. In this work we formulate the problem of data association for track initiation and extension using multiscan windows in order to obtain superior track identification. A model problem is investigated to show the effect of window size, probability of detection, probability of false alarms, and measurement error on solution quality and timings.

关键词： Data processing Signal processing Sensors Detection and tracking algorithms System identification Gadolinium Target detection algorithm development Dynamical systems Optimization (mathematics)

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INNOVATIVE TESTBED FOR DEVELOPING AND ASSESSING AIR-TO-AIR NONCOOPERATIVE TARGET IDENTIFICATION (NCTI) algorithmS

INNOVATIVE TESTBED FOR DEVELOPING AND ASSESSING AIR-TO-AIR N...

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CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION

作者： KNOPOW, JP TAU Corp. (United States)

ISBN: (纸本)0819408646

The development and evaluation of multi-source, multi-spectral, all-aspect airborne target identification algorithms has been proven to be cumbersome as well as disjointed. The algorithm development capability under this testbed concept encompasses model-based reasoning, information fusion, airborne target identification, and target/sensor phenomenology analysis. The evaluation capability assembles multiple sensor and target types coupled with all aspect viewing in an operationally representative air-to-air environment. The importance of developing better techniques for establishing positive target identification for beyond visual ranges has increased in tactical importance, as a result of the Persian Gulf War. In addition to supporting the evaluation of algorithms and associated sensors, this testbed will support on- going R&D in the Air-To-Air Non-Cooperative Target Recognition (NCTR) arena.

关键词： Sensors Target recognition Detection and tracking algorithms algorithm development Electro optical modeling Environmental sensing Infrared signatures Data modeling Information fusion Visualization

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