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检索条件"主题词=Algorithm development"

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RECOGNITION OF CLUSTERED MICROCALCIFICATIONS USING A RANDOM-FIELD MODEL

RECOGNITION OF CLUSTERED MICROCALCIFICATIONS USING A RANDOM-...

引用

CONF ON BIOMEDICAL IMAGE PROCESSING AND BIOMEDICAL VISUALIZATION

作者： KARSSEMEIJER, N Univ. Hospital Nijmegen (Netherlands)

ISBN: (纸本)0819411388

A parallel algorithm has been developed to detect clustered microcalcifications in digital mammography. Labeling of the image is performed by a deterministic relaxation scheme in which both image data and prior beliefs are weighted simultaneously using a Bayesian scheme. The image data is represented by parameter images representing local contrast and shape. A random field models contextual relations between pixel labels, which enables bringing in prior knowledge about the spatial properties of the structures to be detected. By defining long range interaction between background and calcification labels the detector can be tuned to be more sensitive inside clusters than outside, ensuring that isolated spots will only be interpreted as calcifications if they are in the neighborhood of others. In this paper attention is focused on the random field model. Different choices of the energy function defining the interaction model are investigated experimentally using a set of 40 mammograms digitized at 2 k².

关键词： Mammography Image processing Image segmentation Tissues algorithm development Image analysis Sensors CCD cameras Image filtering Detection and tracking algorithms

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SPACE-VARIANT POINT-SPREAD FUNCTION DECONVOLUTION OF HUBBLE IMAGERY USING THE CONNECTION MACHINE 2

SPACE-VARIANT POINT-SPREAD FUNCTION DECONVOLUTION OF HUBBLE ...

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Conference on Digital Image Recovery and Synthesis II

作者： COBB, ML HERTZ, PL WHALEY, RO HOFFMAN, EA USN WASHINGTONDC 20375

ISBN: (纸本)0819412783

The spherical aberration errors which are present in the Hubble Space Telescope optical system produce a space variant point spread function where only 20% of the photons are concentrated in an area corresponding to the diffraction limit of the telescope. Deconvolution techniques can be used to concentrate the remaining 80% of the photons into the Airy core of the images thus restoring diffraction limited performance. Since the point spread function is space variant the normal Fourier transform convolution techniques are difficult to implement. We have developed an image space based convolution routine on the Connection Machine which can be used with a variety of deconvolution algorithms. The space variant point spread function is approximated by assuming isoplanatic patches in the image which can vary in size from 2 X 2 to 32 X 32 pixels. We present timing examples of two popular deconvolution techniques: the Maximum Entropy Method and the Richardson-Lucy method. Thirty iterations of either algorithm on a 512 X 512 image using 256 different point spread functions is accomplished in 90 seconds.

关键词： Point spread functions Deconvolution Convolution Microelectromechanical systems algorithm development Hubble Space Telescope Saturn Space telescopes Diffraction Image processing

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CORNER DETECTION FOR CHAIN CODED CURVES

CORNER DETECTION FOR CHAIN CODED CURVES

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CONF ON VISION GEOMETRY

作者： KOPLOWITZ, J PLANTE, S Clarkson Univ. (United States) TRW Inc. (United States)

ISBN: (纸本)0819410330

A corner detection scheme for chain coded curves is proposed that significantly improves on the performance of current algorithms. The proposed scheme measures the number of links to either side of a point that can produce the largest digital straight line. That value is used as an indication of curvature at that point with very high curvature being indicative of a corner. A modification of the proposed algorithm can further reduce the false detection rate with virtually no affect on the number of corners missed by omitting certain patterns that can arise from contours with arbitrarily small curvature.

关键词： Corner detection Detection and tracking algorithms Image segmentation Vision geometry algorithm development Composites Digital imaging Electrochemical etching Image processing algorithms and systems Sensors

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SIGNAL PROCESSOR PACKAGING DESIGN (SPPD)

SIGNAL PROCESSOR PACKAGING DESIGN (SPPD)

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CONF ON ARCHITECTURE, HARDWARE, AND FORWARD-LOOKING INFRARED ISSUES IN AUTOMATIC TARGET RECOGNITION

作者： MCCARLEY, P PHIPPS, M Wright Lab. (United States)

ISBN: (纸本)0819411930

The Signal Processor Packaging Design (SPPD) program was a technology development effort to demonstrate that a miniaturized, high throughput programmable processor could be fabricated to meet the stringent environment imposed by high speed kinetic energy guided interceptor and missile applications. This successful program culminated with the delivery of two very small processors, each about the size of a large pin grid array package. Rockwell International's Tactical Systems Division in Anaheim, California developed one of the processors, and the other was developed by Texas Instruments' (TI) Defense Systems and Electronics Group (DSEG) of Dallas, Texas. The SPPD program was sponsored by the Guided Interceptor Technology Branch of the Air Force Wright Laboratory's Armament Directorate (WL/MNSI) at Eglin AFB, Florida and funded by SDIO's Interceptor Technology Directorate (SDIO/TNC). These prototype processors were subjected to rigorous tests of their image processing capabilities, and both successfully demonstrated the ability to process 128 X 128 infrared images at a frame rate of over 100 Hz.

关键词： Signal processing Image processing Digital signal processing Packaging Software development Data processing algorithm development Missiles Detection and tracking algorithms Electronics

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FOUNDATIONS OF FUZZY NEURAL NETWORKS

FOUNDATIONS OF FUZZY NEURAL NETWORKS

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Conference on Applications of Fuzzy Logic Technology

作者： GUPTA, MM RAO, DH UNIV SASKATCHEWAN COLL ENGNINTELLIGENT SYST RES LABSASKATOON S7N 0W0SASKATCHEWANCANADA

ISBN: (纸本)0819413267

Over the last decade or so, significant advances have been made in two distinct areas: fuzzy logic and computational neural networks. The theory of fuzzy logic provides mathematical strength to compare the uncertainties associated with human cognitive processes, such as thinking and reasoning. Also, it provides a mathematical morphology to emulate certain perceptual and linguistic attributes associated with human cognition. On the other hand, the computational neural network paradigm has evolved in the process of understanding the incredible learning and adaptability of biological neural mechanisms. Neural networks replicate, on a small scale, some of the computational operations observed in biological learning and adaptation. The integration of these two fields, fuzzy logic and neural networks, has given birth to an emerging paradigm--the fuzzy neural networks. The fuzzy neural networks have the potential to capture the benefits of the two fascinating fields, fuzzy logic and neural networks, into a single capsule. The intent of this paper is to provide an introductory look at this emerging research field of fuzzy neural networks.

关键词： Fuzzy logic Neural networks Neurons Mathematical modeling algorithm development Distance measurement Robots Computing systems Control systems Logic

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EXPERIMENTAL-VERIFICATION OF AUTONOMOUS STAR FIELD IDENTIFICATION algorithm

EXPERIMENTAL-VERIFICATION OF AUTONOMOUS STAR FIELD IDENTIFIC...

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Infrared Remote Sensing Conference

作者： SCHOLL, MS ALENKA ASSOCIATES TEMPEAZ 85285

ISBN: (纸本)0819412686

A six-feature, all-sky star field identification algorithm has been developed for autonomous navigation. The minimum identifiable star pattern element consists of an ordered star triplet defined by three stars and their celestial coordinates (right ascension and declination). The star field identification algorithm was integrated with the CCD-based star tracker and tested at the Table Mountain Observatory. Real-time star field identification is reported with a CCD-based imaging camera interfaced to SPARC II workstation.

关键词： Stars Charge-coupled devices Detection and tracking algorithms Observatories Cameras CCD cameras Space telescopes Telescopes algorithm development Visualization

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AUTOMATED SUPPORT FOR DEVELOPING RETRIEVE-AND-PROPOSE SYSTEMS

AUTOMATED SUPPORT FOR DEVELOPING RETRIEVE-AND-PROPOSE SYSTEM...

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CONF ON THE APPLICATIONS OF ARTIFICIAL INTELLIGENCE 1993 : KNOWLEDGE-BASED SYSTEMS IN AEROSPACE AND INDUSTRY ( PREPRINTS )

作者： SIMOUDIS, E MENDALL, A MILLER, P Lockheed AI Ctr. (United States)

ISBN: (纸本)081941199X

We have studied the retrieve-and-propose problem-solving method, a specialization of the general case-based reasoning method, in terms of its tasks in the context of fault recovery domains. We analyzed the case retrieval and learning tasks that are primarily used in the retrieve-and-propose method, decomposed them into appropriate subtasks, associated decisions for selecting each subtask, and implemented methods for accomplishing each task. We have implemented a system, called REPRO for retrieve and propose, that incorporates the results of this analysis and facilitates the selection of the appropriate algorithms for implementing a case- based expert system. We have used REPRO to develop the CABER case-based fault recovery system.

关键词： Evolutionary algorithms Feature extraction algorithm development Artificial intelligence Manufacturing Databases Prototyping Analytical research Systems modeling Aluminum

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PRINCIPLES OF THIN-FILM SYSTEM-DESIGN

PRINCIPLES OF THIN-FILM SYSTEM-DESIGN

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CONF ON THIN FILMS FOR OPTICAL SYSTEMS

作者： KAISER, H Univ. Potsdam (Germany)

ISBN: (纸本)0819409618

System design is a method to realize system synthesis -- a special form of system identification -- that means, the determination of a system S corresponding to a given behavior. In synthesis this behavior is prescribed and S has to be constructed accordingly. The other form of identification is system recognition, where one has to find the structure of an existing system from a behavior given by measurements. In both cases the mathematical methods used won't differ essentially. For thin film systems the behavior is given by functions depending on the wavelength and/or the angle of incidence of a harmonic plane wave.

关键词： Thin films Refractive index System identification algorithm development Dielectrics Fourier transforms Wave propagation Reflection Software development Americium

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NEURAL-NETWORK SOLUTIONS TO LOGIC PROGRAMS WITH GEOMETRIC CONSTRAINTS 4

NEURAL-NETWORK SOLUTIONS TO LOGIC PROGRAMS WITH GEOMETRIC CO...

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4th International Conference on Applications of Artificial Neural Networks

作者： PARIKH, JA WERKHEISER, A SUBRAHMANIAN, VS SO CONNECTICUT STATE UNIV DEPT COMP SCINEW HAVENCT 06515

ISBN: (纸本)0819412015

Hybrid knowledge bases (HKBs), proposed by Nerode and Subrahmanian, provide a uniform theoretical framework for dealing with the mixed data types and multiple reasoning modes required for solving logical deployment problems. algorithms based on mixed integer linear programming techniques have been developed for the syntactic subset of HKBs corresponding to function-free Prolog-like logic programs. In this study, we examine the ability of neural networks to solve a more comprehensive set of problems expressed within the hybrid knowledge base framework. The objective of this research is to design and implement a nonlinear optimization procedure for solving extended logic programs with neural networks. We focus upon two types of extensions which are typically required in the formulation of logical deployment problems. The first type of extension, which we shall refer to as a Type I extension, consists of embedding numerical and geometric constraints into logic programs. The second type of extension, which we shall call a Type II extension, consists of incorporating optimization problems into logic clauses.

关键词： Logic Neural networks Computer programming Artificial neural networks System identification algorithm development Optimization (mathematics) Head Computer programming languages Evolutionary algorithms

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UNCONSTRAINED SHAPE FROM SHADING 12

UNCONSTRAINED SHAPE FROM SHADING

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12TH CONF ON INTELLIGENT ROBOTS AND COMPUTER VISION : ACTIVE VISION AND 3D METHODS

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

ISBN: (纸本)0819413216

Most conventional SFS (shape from shading) algorithms have been developed under three basic assumptions about surface properties and imaging geometry to simplify the problem. They are the Lambertian surface property, the orthographic projection, and the distant single light source. However, since these assumptions are not appropriate for many real applications, apparent distortions of reconstructed surfaces occur with conventional SFS algorithms. To obtain a more practically useful and accurate SFS algorithm, it is necessary to relax these restrictive assumptions and adopt more general conditions or models about the imaging process. In this research, we propose a new direct shape recovery algorithm from one or multiple shaded images generated by a general reflectance model which includes diffuse and specular effects, perspective projection, and a nearby point light source. The basic idea of our approach is to use a finite triangular surface model and express the image irradiance in terms of surface nodal depth variables through a linearized reflectance map under the perspective projection model. The object shape is recovered by determining all nodal depth variable through a cost minimization process.

关键词： Reflectivity Light sources Computer vision technology Machine vision Image processing Robot vision Robots algorithm development Image acquisition Reconstruction algorithms

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