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检索条件"主题词=Algorithm development"

共 1737 条记录，以下是1471-1480 订阅

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CLUSTERING OF NOISY IMAGE DATA USING AN ADAPTIVE NEUROFUZZY SYSTEM

CLUSTERING OF NOISY IMAGE DATA USING AN ADAPTIVE NEUROFUZZY ...

引用

11TH CONF ON INTELLIGENT ROBOTS AND COMPUTER VISION : BIOLOGICAL, NEURAL NET, AND 3-D METHODS

作者： PEMMARAJU, S MITRA, S Texas Tech Univ. (United States)

ISBN: (纸本)0819410276

Identification of outliers or noise in a real data set is often quite difficult. A recently developed adaptive fuzzy leader clustering (AFLC) algorithm has been modified to separate the outliers from real data sets while finding the clusters within the data sets. The capability of this modified AFLC algorithm to identify the outliers in a number of real data sets indicates the potential strength of this algorithm in correct classification of noise real data.

关键词： algorithm development Fuzzy logic

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AMBA/D - A NEW PROGRAMMING ENVIRONMENT FOR IMAGE-PROCESSING

AMBA/D - A NEW PROGRAMMING ENVIRONMENT FOR IMAGE-PROCESSING

引用

CONF ON IMAGE PROCESSING AND INTERCHANGE : IMPLEMENTATION AND SYSTEMS

作者： ROTH, K HUFNAGL, P WOLF, G Humboldt-Univ. (Germany)

ISBN: (纸本)0819408131

Recent practice in image processing is dominated by heuristic methods used to design practical, relevant algorithms. To ensure high efficiency in the design process, the communication between user and computer should be as direct as possible. An interactive software system for image processing is required to fulfill this demand. Interpreter-based systems with high interactivity available on the software market have the drawback of low operation speed. In AMBA/D we combine the performance of a compiler/based system, with the interactivity of an interpreter system. The AMBA/D system is an interactive programming environment with integrated facilities to create, compile, execute, and debug programs. In AMBA/D, a compiler language, direct execution, and programming concept is combined with a collection of high-level image processing procedures. The design of a special compiler language was necessary because existing computer languages like FORTRAN, C, etc., do not fulfill our requirement of interactivity. The system runs of an IBM-compatible personal computer and can be used with different types of commercially available frame grabbers.

关键词： Image processing Computer programming Liver Computer programming languages Frame grabbers Telecommunications algorithm development Image segmentation Biological research Computing systems

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COMPARING SUBSET-CONVERGENT AND VARIABLE-DEPTH LOCAL SEARCH ON PERSPECTIVE-SENSITIVE LANDMARK RECOGNITION PROBLEMS

COMPARING SUBSET-CONVERGENT AND VARIABLE-DEPTH LOCAL SEARCH ...

引用

11TH CONF ON INTELLIGENT ROBOTS AND COMPUTER VISION : algorithmS, TECHNIQUES, AND ACTIVE VISION

作者： BEVERIDGE, JR Univ. of Massachusetts/Amherst (United States)

ISBN: (纸本)0819410268

An intelligent robot with a camera and a partial model of its environment should be able to determine where it is from what it sees. This goal, landmark based navigation, can be realized using geometric object recognition algorithms. An important problem that arises in the development of such algorithms concerns the role of full 3-D perspective projection. Much of the work on object recognition has focused upon simplified problems which are essentially 2- D. One such simplification uses weak-perspective: to test the alignment of matched features object models are rotated, translated, and scaled in the image plane. At increased computational cost, full-perspective can be incorporated into recognition using a family of probabilistic optimization procedures based upon local search. This paper considers two specific algorithms from this family: subset-convergent and variable-depth local search. Both approaches reliably recognize landmarks even when landmark appearance is sensitive to perspective. Results presented here suggest the relatively simpler variable-depth algorithm is preferable when errors in the robot pose estimate are smaller, but that at some point as uncertainty in the initial pose estimate increases the more sophisticated subset-convergent algorithm becomes preferable.

关键词： Image segmentation 3D modeling Robot vision algorithm development Detection and tracking algorithms Data modeling Visual process modeling Computer vision technology Machine vision Cameras

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RELATIONSHIP BETWEEN HOVERING DEPTH AND VIEWING POSITION 3

RELATIONSHIP BETWEEN HOVERING DEPTH AND VIEWING POSITION

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

作者： SUN, CM FORREST, AK Imperial College of Science Technology and Medicine (United Kingdom)

ISBN: (纸本)0819408204

Random-dot stereograms first generated by Julesz have since been much used for research in vision and perception. When stereograms are binocularly viewed, three-dimensional surfaces can be perceived hovering over the random-dot background. It can be observed that when the viewing distance alters, the hovering depth of the surface also changes and that if we move our eyes to and fro sideways while viewing, the hovering surface moves with our eye movement. It is believed that the information about depth and three-dimensional shape available from the horizontal component of the stereo disparity field requires interpretation in conjunction with information about egocentric viewing distance. This paper shows the relationship between hovering depth and viewing position. The hovering depth can be calculated providing the interocular distance, the convergence angle and the disparity are known. The ratio of the hovering depths at two different viewing positions is equal to the ratio of the corresponding viewing distances. A mathematical explanation is given of the fact that changing viewing position results in changing of the perceived depth of the hovering surface in stereograms. The horizontal shift of the hovering surface has a linear relationship with the amount of eye movement, and the ratio between them is determined by a the disparity and the interocular distance.

关键词： Stereo holograms Eye Human vision and color perception Visualization Lawrencium Computer simulations algorithm development Sensors Visual system Sun

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TOBOGGAN CONTRAST ENHANCEMENT

TOBOGGAN CONTRAST ENHANCEMENT

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

作者： FAIRFIELD, J James Madison Univ. (United States)

ISBN: (纸本)0819408735

Toboggan contrast enhancement is a noniterative, no-parameter, linear execution time method for selectively augmenting the contrast of multispectral images of arbitrary dimensionality. It can be adapted to enhance images given any image function embodying one's notion of what constitutes an edge, provided the function monotonically decreases with distance from edges.

关键词： Evolutionary algorithms Image enhancement Image segmentation Artificial intelligence Robotics Machine vision Dysprosium Brain Convolution algorithm development

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ONLINE FAULT-DETECTION USING INTEGRATED NEURAL NETWORKS 3

ONLINE FAULT-DETECTION USING INTEGRATED NEURAL NETWORKS

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3RD ANNUAL INTERNATIONAL CONF ON APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS

作者： LEE, J TSAI, J National Science Foundation (United States) Arthur D. Little Inc. (United States)

ISBN: (纸本)0819408743

A practical neural networks paradigm is described for material handling. The learning algorithm is a modification of the cerebella model articulation controller (CMAC) developed by Albus. A table look-up approach detects faults by monitoring the output patterns from sensors and actuators. By analyzing the timing sequence, abnormal conditions can be detected. CMAC offers an alternative to conventional back-propagated, multilayered networks, with the advantage of rapid convergence. The approach appears to be more efficient for the on-line and real-time applications required in automated systems.

关键词： Sensors Failure analysis Neural networks Diagnostics Artificial neural networks Manufacturing Actuators algorithm development Organisms Process control

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EVALUATION SYSTEM FOR HAND-WRITTEN CHARACTERS

EVALUATION SYSTEM FOR HAND-WRITTEN CHARACTERS

引用

CONF ON MACHINE VISION APPLICATIONS IN CHARACTER RECOGNITION AND INDUSTRIAL INSPECTION

作者： KATO, T Hamamatsu Photonics K.K. (Japan)

ISBN: (纸本)0819408158

One of the most difficult problems in handwritten Kanji (Chinese) character recognition is the variety of writing styles. In Japan, children are taught to write beautiful characters in elementary school. However, the shape of handwritten characters can vary in such propositions that the recognition rate greatly depends on character quality. Therefore, developing an automatic evaluation system of handwritten characters is very effective in improving our writing and also helps to build an accurate character recognition system. For this purpose, a real-time evaluation system consisting of a new algorithm for evaluating handwritten character quality has been developed. This objective evaluation is carried out by assuming that character quality can be expressed as a linear function of quantitative measures. Such measures were derived from the results of an analysis of character evaluation factors. The scanner digitizes handwritten characters and the workstation calculates their quality. The accuracy of this system was confirmed, comparing it to subjective evaluation by human observers. The possibility of objective evaluation of handwritten character quality was demonstrated.

关键词： Quality measurement Binary data Scanners Visualization Optical character recognition Quality systems algorithm development Analytical research Photonics Statistical analysis

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SINGLE-SCAN TRACKING USING N INFRARED-SENSORS

SINGLE-SCAN TRACKING USING N INFRARED-SENSORS

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

作者： RUDD, JG MARSH, RA IBM/Federal Sector Div. (United States)

ISBN: (纸本)0819408638

The surveillance of very dim IR targets or `fast-burn' targets, or both, is usually assumed to require the use of either staring sensors or scanning sensors with relatively fast revisit rates. The thesis of this paper is that a greater multiplicity of scanning sensors with relatively slow revisit rates often can be used effectively to achieve the required surveillance results. In particular, we describe conditions under which a dim or fast-burn target can be detected and tracked, and accurate tactical parameters can be computed for the target, by using as few as one observation per sensor per target.

关键词： Sensors Satellites Target detection Infrared sensors algorithm development Detection and tracking algorithms Signal processing Data processing Surveillance Error analysis

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LOCAL CARDINAL SPLINE INTERPOLATION AND ITS APPLICATION TO IMAGE-PROCESSING 2

LOCAL CARDINAL SPLINE INTERPOLATION AND ITS APPLICATION TO I...

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CONF ON CURVES AND SURFACES IN COMPUTER VISION AND GRAPHICS 2

作者： CHAN, AK CHUI, CK ZHA, J LIU, Q Texas A&M Univ. (United States)

ISBN: (纸本)081940747X

This paper presents an image interpolation algorithm using the recently developed local cardinal interpolatory spline (LCIS). The procedures for constructing the LCIS basis are described for both univariate and bivariate cases. This new LCIS algorithm is very efficient and can be implemented easily. Without the need of a mapping procedure, this method is faster than any other polynomial interpolation approach. The C2 property of the LCIS also allows the gradient operator to be constructed for edge detection. Both image interpolation and edge detection algorithms are compared with existing methods in two different examples.

关键词： Computer graphics Computer vision technology Machine vision Visualization Edge detection Image interpolation Image processing Image quality algorithm development Reconstruction algorithms

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FUZZY TRACKING OF MULTIPLE OBJECTS

FUZZY TRACKING OF MULTIPLE OBJECTS

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CONF ON SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION

作者： PERLOVSKY, LI Nichols Research Corp. (United States)

ISBN: (纸本)0819408646

Existing tracking algorithms have difficulties with multiple objects in heavy clutter'. As a number of clutter objects increases, it is becoming increasingly difficult to maintain and especially to initiate tracks. A near optimal algorithm, the Multiple Hypothesis Tracking (MHT)2, initiates tracks by considering all possible associations between multiple objects and clutter event on multiple frames. This, however, requires combinatorially large amount of computation, which is difficult to handle even for neural networks, when a number of clutter objects is large. A partial solution to this problem is offered by the Joint Probability Density Association (JPDA) tracking algorithm3, which performs fuzzy associations of objects and tracks, eliminating combinatorial search. However, the JPDA algorithm performs associations only on the last frame using established tracks and is, therefore, unsuitable for track initiation. The problem is becoming even more complicated for imaging, incoherent sensors, when direct measurement of object velocity via the Doppler effect is unavailable. We have applied a previously developed MLANS neural network'5'6 to the problem of tracking multiple objects in heavy clutter. In our approach the MLANS performs a fuzzy classification of all objects in multiple frames into multiple classes of txacks and random clutter. This novel approach to tracking using an optimal classification algorithm results in a dramatic improvement of performance: the MLANS tracking combines advantages of both the JPDA and the MHT, it is capable of track initiation by considering multiple frames, and it eliminates combinatorial search via fuzzy associations.

关键词： Detection and tracking algorithms Neural networks Doppler effect Radar algorithm development Fuzzy logic Sensors Filtering (signal processing) Optical sensors Velocity measurements

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