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检索条件"主题词=Algorithm Development"

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STREAK SPLICING USING MEDIAL AXIS TRANSFORM TECHNIQUES

STREAK SPLICING USING MEDIAL AXIS TRANSFORM TECHNIQUES

引用

Meeting on Visual Communications and Image Communication 93

作者： FALABELLA, DJ ALBRIGHT COLL DEPT COMP SCIREADINGPA 19612

ISBN: (纸本)0819413690

One of the objectives of image processing is to detect and locate some meaningful discontinuities in the gray levels of an image. The usual approach taken is referred to as edge detection. Streak detection presents a related but sometimes different problem. Here we are concerned not only with the edges but also with the properties and features of that portion of the image which is contained within the boundaries of these edges. This paper looks at particular methods which may be applied for the location and characterization of such streaks and for the possible splicing together of different streak segments. Particular emphasis is placed on the development of an invariant proprerty referred to as the Preservation of Perimeter Property of an object (PPP). Coupled with this is the use of the Medial Axis Transformation (MAT) as a tool in the process. The MAT produces what is known as the skeleton of the object. Integrating a new approach to finding the Euclidean Elevation Map (EEM) with the MAT is a key in the development phases. The approach taken represents a compromise between the process of producing an exact bitmap of the skeleton and developing a faster approximation of the skeleton which incorporates usable, structural information.

关键词： Image segmentation Image processing Arteries Data storage Detection and tracking algorithms Photography algorithm development Edge detection Reconstruction algorithms Raster graphics

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PROCESSING OF COMPLEX INTERFEROGRAMS ON PERSONAL COMPUTERS

PROCESSING OF COMPLEX INTERFEROGRAMS ON PERSONAL COMPUTERS

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3RD INTERNATIONAL WORKSHOP ON IODINE LASERS AND APPLICATIONS

作者： KALAL, M Czech Technical University in Prague Faculty of Nuclear Sciences and Physical Engineering Department of Physical Electronics V Holešovičkách 2 Prague 8 180 00 Czech Republic

An interferometric technique - complex interferometry - which enables recording of up to three sets of data into just one so-called `complex' interferogram is reviewed and its potential and limits are described. P... 详细信息

ISBN: (纸本)0819412260

关键词： Computing systems Interferometry Laser beam diagnostics Phase shifts iodine lasers Fourier transforms Spatial frequencies algorithm development Heterodyning Reconstruction algorithms

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HIGH-ORDER CURVE RECOGNITION WITH THE HOUGH TRANSFORM USING A CONNECTIONIST APPROACH 2

HIGH-ORDER CURVE RECOGNITION WITH THE HOUGH TRANSFORM USING ...

引用

CONF ON SCIENCE OF ARTIFICIAL NEURAL NETWORKS 2

作者： ARRUE, BC INIGO, RM Univ. of Virginia (Spain) Univ. of Virginia (United States)

ISBN: (纸本)0819412023

Extraction of lines and curves from images is one of the most important and fundamental tasks in machine inspection and computer vision in general. Among all the techniques in detecting lines and curves, the Hough Transform (HT) method is unique in its ability to cope effectively with noise, gaps in outlines and even partial occlusion. In spite of this ability, the HT method is still not widely used in real time applications due to its computationally intensive requirements. One solution to this problem is to find an architecture for parallel processing. Recently, some approaches using parallel architectures have been reported. In real-time applications, the overall time required using these approaches is of the order of hundreds of milliseconds for a typical image of 256 X 256 resolution. Clearly, this speed is not good enough for most image processing and machine vision tasks where line detection is just partial work. Since these architectures use commercial components and are not highly parallel, there is ample opportunity to improve the speed by using neural-like analog circuitry. An original method of higher order curve (HOC) detection using the Hough Transform is presented. This method is computationally very efficient and may yield to hardware implementation, thus making it possible to use the Hough Transform in fast real time applications.

关键词： Hough transforms Artificial neural networks Content addressable memory Quantization algorithm development Image resolution Image segmentation Machine vision Neural networks Pattern recognition

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PRECISION HIGH-TEMPERATURE BLACKBODIES 4

PRECISION HIGH-TEMPERATURE BLACKBODIES

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CONF ON ULTRAVIOLET TECHNOLOGY 4

作者： SAPRITSKY, VI JOHNSON, BC SAUNDERS, RD VLASOV, LV SUDAREV, KA KLEVNOY, BB SHAPOVAL, VI DMITRIEV, IA BUCHNEV, LM PROCHOROV, AV National Institute of Standards and Technology (United States) All-Union Research Institute for Optical and (Russia)

This paper reviews the research and design of high temperature blackbody sources for the temperature interval from 2000 K to 3000 K. Sources with large apertures are addressed specifically, as these are well suited to... 详细信息

ISBN: (纸本)0819409375

关键词： Black bodies Tungsten Temperature metrology Lamps Standards development Ultraviolet radiation algorithm development Radiometry Resistance Sensors

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ADAPTIVE DISCRETIZATION IN RANDOM PROCESS MEASUREMENT PROBLEMS

ADAPTIVE DISCRETIZATION IN RANDOM PROCESS MEASUREMENT PROBLE...

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2nd International Symposium on Measurement Technology and Intelligent Instruments

作者： HAJIYEV, CM AZERBAIJANIAN SCI & PROD GRP SUMGAIT 373204AZERBAIJAN

ISBN: (纸本)0819413844

Herein on the basis of the outlying theory the correspondence between discretisation intervals of a supervised value and some preset value of the criterion which defines the supervision certainty is determined. As a result the adaptive measurement discretisation algorithm has been developed obtaining (by the measure and statistics) the time interval after which the next supervision is to be performed.

关键词： Tolerancing algorithm development algorithms Probability theory Control systems Binary data Improvised explosive devices Ions Lithium Time metrology

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ROBUST APPROACH TO OCULAR FUNDUS IMAGE-ANALYSIS

ROBUST APPROACH TO OCULAR FUNDUS IMAGE-ANALYSIS

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CONF ON BIOMEDICAL IMAGE PROCESSING AND BIOMEDICAL VISUALIZATION

作者： TASCINI, G PASSERINI, G PULITI, P ZINGARETTI, P Univ. di Ancona (Italy) INRCA (Italy) Univ. di Ancona and INRCA (Italy)

ISBN: (纸本)0819411388

The analysis of morphological and structural modifications of retinal blood vessels plays an important role both to establish the presence of some systemic diseases as hypertension and diabetes and to study their course. The paper describes a robust set of techniques developed to quantitatively evaluate morphometric aspects of the ocular fundus vascular and micro vascular network. They are defined: (1) the concept of 'Local Direction of a vessel' (LD); (2) a special form of edge detection, named Signed Edge Detection (SED), which uses LD to choose the convolution kernel in the edge detection process and is able to distinguish between the left or the right vessel edge; (3) an iterative tracking (IT) method. The developed techniques use intensively both LD and SED in: (a) the automatic detection of number, position and size of blood vessels departing from the optical papilla; (b) the tracking of body and edges of the vessels; (c) the recognition of vessel branches and crossings; (d) the extraction of a set of features as blood vessel length and average diameter, arteries and arterioles tortuosity, crossing position and angle between two vessels. The algorithms, implemented in C language, have an execution time depending on the complexity of the currently processed vascular network.

关键词： Surface conduction electron emitter displays Detection and tracking algorithms Edge detection Blood vessels Image segmentation Image analysis Convolution algorithm development Information technology Automatic tracking

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MAMMOGRAPHIC SCREENING - RADIOLOGICAL PERFORMANCE AS A PRECURSOR TO IMAGE-PROCESSING

MAMMOGRAPHIC SCREENING - RADIOLOGICAL PERFORMANCE AS A PRECU...

引用

CONF ON BIOMEDICAL IMAGE PROCESSING AND BIOMEDICAL VISUALIZATION

作者： GALE, AG WILSON, ARM ROEBUCK, EJ Univ. of Derby (United Kingdom) City Hospital/Nottingham (United Kingdom)

ISBN: (纸本)0819411388

A key issues in the introduction and development of appropriate image processing techniques in mammography is the establishment of the current performance of radiologists in the area. This is necessary because the utility of machine vision approaches is largely validated by comparison with known radiological performance measures (which may well be variable) on the same set of cases. Furthermore the determination of weaknesses in existing human mammographic interpretative ability will demonstrate where machine vision approaches are currently most needed and thus likely to be of maximum benefit in a breast screening program. Following the introduction of breast screening in the U.K. a national self-assessment program has been implemented for all radiologists involved in this specialty. One of the outcomes of this program is the determination of radiological performance variations on this standard task. It is argued that these demonstrate the need for any machine vision approach to take such individuality into account before it can be implemented usefully.

关键词： Breast Cancer Machine vision Mammography Image processing Diagnostics Visualization Information visualization algorithm development Breast cancer

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EFFICIENT IMAGE-RECONSTRUCTION FROM SIGN AND ENERGY INFORMATION

EFFICIENT IMAGE-RECONSTRUCTION FROM SIGN AND ENERGY INFORMAT...

引用

Conference on Video Communications and PACS for Medical Applications

作者： BASSO, A GEURTZ, A KUNT, M ECOLE POLYTECH FED LAUSANNE TRAITEMENT SIGNAUX LABCH-1015 LAUSANNESWITZERLAND

ISBN: (纸本)0819412236

In recent year several algorithms for signal reconstruction from sign information have been developed. In this paper we propose an improved version of the 1D algorithm presented, with the following new characteristics: (1) restriction of the input data space to the set of energy normalized bandpass functions, (2) preservation of the global energy content of the original signal, and (3) implicit determination of the scaling constant. Simulation results show that the restriction of the solution data space to the set on energy normalized functions leads, in general, to a reconstruction that, even if is not coincident in all the zerocrossing positions to the original signal, seems to be stable in L₂ sense. A complete coding scheme based on the JBIG standard for an efficient encoding of the zerocrossing is presented. Encouraging results have been obtained both at reconstruction and at coding level that show the feasibility of the global scheme.

关键词： Reconstruction algorithms algorithm development Image compression Image restoration Computer programming Lead Distortion Error analysis Image processing Signal processing

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TELEOPERATION WITH VIRTUAL FORCE FEEDBACK

TELEOPERATION WITH VIRTUAL FORCE FEEDBACK

引用

1993 SPIE Technical Conference on Telemanipulator Technology and Space Telerobotics

作者： ANDERSON, RJ SANDIA NATL LABS DIV INTELLIGENT MACHINE SYST 1ALBUQUERQUENM 87185

ISBN: (纸本)0819413224

In this paper we describe an algorithm for generating virtual forces in a bilateral teleoperator system. The virtual forces are generated from a world model and are used to provide real-time obstacle avoidance and guidance capabilities. The algorithm requires that the slave's tool and every object in the environment be decomposed into convex polyhedral primitives. Intrusion distance and extraction vectors are then derived at every time step by applying Gilbert's polyhedra distance algorithm, which has been adapted for the task. This information is then used to determine the compression and location of nonlinear virtual spring-dampers whose total force is summed and applied to the manipulator/teleoperator system. Experimental results validate the whole approach, showing that it is possible to compute the algorithm and generate realistic, useful pseudo forces for a bilateral teleoperator system using standard VME bus hardware.

关键词： algorithm development Sensors Computing systems Virtual reality Complex systems Control systems Data modeling Intelligence systems Motion models Systems modeling

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NEURO-FUZZY MODELS IN PATTERN-RECOGNITION

NEURO-FUZZY MODELS IN PATTERN-RECOGNITION

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Conference on Applications of Fuzzy Logic Technology

作者： MITRA, S KIM, YS TEXAS TECH UNIV DEPT ELECT ENGNCOMP VIS & IMAGE ANAL LABLUBBOCKTX 79409

ISBN: (纸本)0819413267

Research in the last decade emphasized the potential of designing adaptive pattern recognition classifiers based on algorithms using multi-layered artificial neural nets. The greatest potential in such endeavors was anticipated to be not only in the adaptivity but also in the high-speed processing through massively parallel VLSI implementation and optical computing. Computational advantages of such algorithms have been demonstrated in a number of papers. Neural networks particularly the self-organizing types have been found quite suitable crisp pattern for clustering of unlabeled datasets. The generalization of Kohonen-type learning vector quantization (LVQ) clustering algorithm to fuzzy LVQ clustering algorithm and its equivalence to fuzzy c-means has been clearly demonstrated recently. On the other hand, Carpenter/Grossberg's ART-type self organizing neural networks have been modified to perform fuzzy clustering by a number of researches in the past few years. The performance of such neuro-fuzzy models in clustering unlabeled data patterns is addressed in this paper. A recent development of a new similarity measure and a new learning rule for updating the centroid of the winning cluster in a fuzzy ART-type neural network is also described. The capability of the above neuro-fuzzy model in better partitioning of datasets into clusters of any shape is demonstrated.

关键词： Fuzzy logic Neural networks Iris algorithm development Data modeling Neurons IRIS Consortium Prototyping Control systems Pattern recognition

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