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USING PROJECTIONS FOR PRECLASSIFICATION OF CHARACTER SHAPE

USING PROJECTIONS FOR PRECLASSIFICATION OF CHARACTER SHAPE

引用

Conference on Document Recognition

作者： MARCELLI, A PAVLIDIS, T UNIV NAPOLI FEDERICO II DIPARTIMENTO INFORMAT & SISTEMISTI-80125 NAPLESITALY

ISBN: (纸本)081941476X

Simple techniques for character recognition do not perform very well, but they are fast compared to more effective but also more complex methods. In this paper we describe how such simple techniques can be used as preprocessors for eliminating possibilities that the main classifier has to deal with. This is achieved in three different ways: by attempting a segmentation of word into characters, by reducing the number of the prototypes to match with the sample, and by providing a set of constraints for the matching. Experiments on an address data base provided by the U.S. Postal Service have shown that the method reduces the classification time by almost 60%, while it does not introduce any errors.

关键词： Prototyping Image segmentation Optical character recognition Image processing Image quality detection and tracking algorithms Error analysis Classification systems Computing systems Shape analysis

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IMPROVING FRAME INTEGRATION PERFORMANCE IN THE PRESENCE OF UNKNOWN SENSOR JITTER

IMPROVING FRAME INTEGRATION PERFORMANCE IN THE PRESENCE OF U...

引用

Conference on Signal and Data Processing of Small Targets 1994

作者： HARTLESS, ML MARTIN MARIETTA CORP OCEAN RADAR & SENSOR SYSTUTICANY 13503

ISBN: (纸本)0819415391

Temporal frame integration performance in white noise is investigated as a function of the sensor point spread function (PSF), the uncompensated sensor jitter level and the velocity bin quantization used in the algorithm implementation. The analysis is provided for both recursive and non-recursive frame integration implementations. The results show that for a given sensor PSF, jitter level and velocity bin quantization, a limit exists on how many frames can be effectively integrated assuming constant velocity hypotheses for the target. It is also shown that to obtain maximum performance from multi-frame integration, knowledge of the residual rms jitter level needs to be included as part of the optimal space-time filter. A simple non- linear method for reducing the frame integration loss when there is uncompensated sensor jitter present in the data is also presented.

关键词： Sensors Digital filtering Signal to noise ratio Quantization detection and tracking algorithms Point spread functions Image resolution Electronic filtering Spatial filters Image filtering

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DESIGN OF BINARY SERIAL-CODED-FILTERS 5

DESIGN OF BINARY SERIAL-CODED-FILTERS

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5th International Conference on Applications of Artificial Neural Networks

作者： LIU, Y LU, MZ ZHANG, JM FANG, ZL LIU, FL MU, GG NANKAI UNIV INST MODERN OPTTIANJIN 300071PEOPLES R CHINA

ISBN: (纸本)0819415472

Binary self-coded filters (BSCFs) are easily implemented optically. BSCFs are based on the optimization functions of the Hopfield model by nonsynchronous iterative neuron algorithms. Less filters are needed to carry out the same recognition task, compared with other methods. The error-tolerance ability is also very strong. All target objects can be correctively recognized when the characteristic codes are properly chosen. Starting from different initial states, we can obtain solution close to the overall optimum of the net.

关键词： Target recognition Neural networks Binary data Neurons Tolerancing detection and tracking algorithms Image filtering Lutetium Optical pattern recognition Optimization (mathematics)

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MORPHOLOGICAL EDGE-detection FOR OCEANOGRAPHIC IMAGES 22

MORPHOLOGICAL EDGE-DETECTION FOR OCEANOGRAPHIC IMAGES

引用

22nd AIPR Workshop on interdisciplinary Computer Vision: Applications and Changing Needs

作者： KRISHNAMURTHY, S IYENGAR, SS HOLYER, R LYBANON, M LOUISIANA STATE UNIV DEPT COMP SCIBATON ROUGELA 70803

ISBN: (纸本)0819413909

Mesoscale oceanographic features are important aspects of ocean circulation. The high volume of satellite-derived oceanographic data coupled with the high level of human skill associated with the detection of oceanographic features in the data has necessitated automating the interpretation process. Morphological edge detectors produce better results than the conventional template- and differentiation-based edge detectors. A grayscale morphological edge-detection algorithms is developed for automatic delineation of mesoscale structure in digital satellite IR images of the ocean. We compare performances of three morphological edge detectors in sea surface temperature fields. We provide experimental results on images from the North Atlantic under various image settings.

关键词： Sensors Mathematical morphology Satellites Algorithm development Earth observing sensors Edge detection Infrared imaging Satellite imaging detection and tracking algorithms Image processing

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SYNTHESIS OF REFLEXIVE algorithms WITH INTELLIGENCE FOR EFFECTIVE ROBOT PATH PLANNING IN UNKNOWN ENVIRONMENTS 8

SYNTHESIS OF REFLEXIVE ALGORITHMS WITH INTELLIGENCE FOR EFFE...

引用

Mobile Robots VIII Conference

作者： WOLFENSBERGER, M WRIGHT, D DUKE UNIV DEPT MECH ENGN & MAT SCIDURHAMNC 27706

ISBN: (纸本)0819413232

The ability of a robot to find a goal in an unknown environment is significantly improved from previous path planners with the synthesis of intelligence and reflexive algorithms as a path planning approach. A hybrid expert system vector field (HESV) path planner is introduced and tested in 100 map scenarios using a custom robotic simulation shell. The method combines a trap detection expert system, a low-level reflexive obstacle avoidance algorithm, and a trap evasion expert system, to achieve improved performance without sacrificing computational efficiency. Simulation results and evaluations are presented for the potential field, vector field, and HESV techniques. HESV's expert systems have been simplified to illustrate the performance improvements that result from a small amount of intelligence. Although recommendations for the structure of the path planning system are given, the purpose of the paper is to show the effectiveness of intelligent rules in path planning, rather than to define the actual rules to be used.

关键词： Mobile robots Sensors Intelligence systems Computing systems Evolutionary algorithms Space robots Control systems detection and tracking algorithms Lead Robotics

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FEATURE tracking - VISUALIZING AMORPHOUS REGIONS AND THEIR EVOLUTIONS

FEATURE TRACKING - VISUALIZING AMORPHOUS REGIONS AND THEIR E...

引用

Conference on Visual Data Exploration and Analysis

作者： SILVER, D SAMTANEY, R ZABUSKY, NJ RUTGERS STATE UNIV DEPT ELECT & COMP ENGNPISCATAWAYNJ 08855

ISBN: (纸本)0819414735

An essential part of visualization of massive time-dependent data sets is to identify, quantify and track important regions and structures (objects of interest). This is true for almost all disciplines since the crux of understanding the original simulation, experiment or observation is the study of the evolution of the 'objects' present. Some well known examples include tracking the progression of a storm, the motion and change of the 'ozone hole', or the movement of vortices shed by the meandering Gulf stream. In this paper, we describe work-in- progress on extracting and tracking three dimensional evolving objects in time dependent simulations. The simulations are from ongoing research in computational fluid dynamics (CFD), however, the tracking procedures are general and are appropriate for many other disciplines.

关键词： Visualization Optical tracking Feature extraction Image segmentation Interfaces Computer simulations detection and tracking algorithms Computer vision technology Machine vision Ozone

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NEW REAL-TIME PARALLEL THINNING ALGORITHM USING CONVOLUTION APPROACH 2

NEW REAL-TIME PARALLEL THINNING ALGORITHM USING CONVOLUTION ...

引用

Conference on Image and Video Processing II

作者： QING, KP MEANS, RW HNC INC SAN DIEGOCA 92122

ISBN: (纸本)0819414778

A new parallel thinning algorithm is proposed here that is based on a convolution approach. This algorithm works for both four neighbor and eight neighbor connectivity. This algorithm gives good results and requires very little computation time if we exploit a high speed convolutional processor such as HNC's Vision Processor (ViP). The algorithm executes in a parallel fashion using 3 X 3 convolutions. It checks all possible 512 patterns within the 3 X 3 windows in each pass where each pass takes less than 7 milliseconds with the ViP. To maintain original connectivity, we divide the 100 patterns into two large and four small groups that avoid possible conflict. The high speed (70 milliseconds for most 512 X 512 images with objects that have a 10 pixel width or less) is due to the parallelism in HNC's ViP chip and enables real time applications. Because this algorithm takes advantage of the current VLSI technology, it checks as many as 512 patterns at the same time using a lookup table and provides the best result.

关键词： Convolution Image processing Video processing Electroluminescence Lithium Osmium Very large scale integration Adaptive optics detection and tracking algorithms Silicon

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SPATIALLY-INVARIANT RECOGNITION OF CONTOURS BY MEANS OF NEURAL NETWORKS

SPATIALLY-INVARIANT RECOGNITION OF CONTOURS BY MEANS OF NEUR...

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International Conference on Optical Memory and Neural Networks 94

作者： IVANOV, VA KISELYOV, BS KULAKOV, NY RUSSIAN ACAD SCI INST OPT NEURAL TECHNOLMOSCOW 117333RUSSIA

The problems of using simple neural networks for the spatially invariant recognition of contours is discussed in this paper. An optoelectronic circuit for primary information processing in recognition problems is offe... 详细信息

ISBN: (纸本)0819417785

关键词： Neurons Neural networks Binary data Data processing detection and tracking algorithms Image processing Modeling Optoelectronics Sensors Switching

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FAULT detection EMPLOYING TRANSDUCER OPTIMISATION PROCEDURES 2

FAULT DETECTION EMPLOYING TRANSDUCER OPTIMISATION PROCEDURES

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2nd European Conference on Smart Structures and Materials

作者： WORDEN, K TOMLINSON, GR BURROWS, AP UNIV MANCHESTER DEPT ENGNDYNAM & CONTROL RES GRPMANCHESTER M13 9PLLANCSENGLAND

ISBN: (纸本)0819417009

This paper describes one possible way forward for smart structures in the domain of fault detection and classification using neural networks and genetic algorithms. Consideration is given to the incompatibility between numerical training data sets and real structures and how this may be ameliorated using optimization procedures for determining the number and location of transducers required to locate and classify a fault.

关键词： Sensors Transducers Neural networks Genetic algorithms Data modeling Diagnostics Smart materials Chemical elements detection and tracking algorithms Smart structures

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DISCRIMINATION OF HANDWRITTEN FROM MACHINE-PRINTED TEXT 4

DISCRIMINATION OF HANDWRITTEN FROM MACHINE-PRINTED TEXT

引用

4th Conference on Hybrid Image and Signal Processing

作者： CHAHAL, S GRUMMAN DATA SYST CORP CHANTILLYVA 22021

ISBN: (纸本)0819415421

The problem of discriminating handwritten from machine-printed text is important for character recognition applications because most recognition algorithms for handwritten text differ considerably from those for machine-printed text. Therefore, an efficient segregation of the two streams is necessary prior to recognition in order to minimize systems cost and complexity. Several techniques have been proposed based on character connectivity and heuristics; but very few achieve results at the 99% level. The technique described in this paper has been proven to yield performance figures in the high 99% on tens of thousands of IRS tax forms and postal envelopes. The technique proposed is based on the use of density of black to white for a given binary field and the overall density of pixels for a gray-scale field as a main discrimination feature. First, the given field is boxed very closely and its boundaries are isolated in space. A horizontal histogram is extracted for this field, and the total number of black pixels is computed. The amount of black pixels per unit area is generated for binary text, and the sum of all pixels is generated for gray-level text. When tested on a large number of samples, these densities cluster following distinct normal distributions for handwritten and machine-printed text respectively. Fuzzy thresholds are set where the two normal curves cross with a confidence interval of 99%. The samples whose densities fall below the threshold are considered handwritten and the samples whose densities fall above the threshold are considered machine-printed.

关键词： Binary data Image processing Statistical analysis Image analysis Fuzzy logic Image segmentation Infrared imaging detection and tracking algorithms Image resolution Optical character recognition

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