It is proposed that fiber optics and optical techniques, including implementation of the Hopfield neural net model, be applied to VLSI testing. The objective is to develop smart sensing to extract features from the ch...
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ISBN:
(纸本)0818607262
It is proposed that fiber optics and optical techniques, including implementation of the Hopfield neural net model, be applied to VLSI testing. The objective is to develop smart sensing to extract features from the chip or even earlier in the process from the masks, etc. It would be possible to apply imageprocessing techniques as well as utilize optical information processing based on the content-addressable associative memory model of neural networks.
We have attempted to use the characteristics of the human visual system in a novel approach to the processing of remotesensingimagery. Specifically, we use three channels of a spatial radiometer to simulate the '...
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We have attempted to use the characteristics of the human visual system in a novel approach to the processing of remotesensingimagery. Specifically, we use three channels of a spatial radiometer to simulate the 'sensor' function of the human eye while using computer processing to simulate the function performed by the second segment of the system. When an image is subjected to this type of simulation-processing, the result is three new-images termed the 'color-coded image', the 'lighting-coded image' and the 'color-quantity-coded image'. The paper concludes with comments of this approach and its prospects with suitable reference to examples based on TM and (simulated) SPOT data.
This paper describes research on recognizing partially obscured objects using three dimensional surface data and geometrical object models as input. The paper shows that surface information is an important input to th...
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ISBN:
(纸本)0852963325
This paper describes research on recognizing partially obscured objects using three dimensional surface data and geometrical object models as input. The paper shows that surface information is an important input to the visual understanding process. This is because surfaces are the features that directly link perception to the objects perceived (for normal 'camera-like' sensing) and because surface understanding makes explicit information needed to understand and cope with some visual problems (e. g. obscured features).
On accumule de plus en plus de données sous forme d'images, surtout dans les domaines où interviennent la microscopie ou la télédétection. II n'est done pas surprenant que les statisti...
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On accumule de plus en plus de données sous forme d'images, surtout dans les domaines où interviennent la microscopie ou la télédétection. II n'est done pas surprenant que les statisticiens s'intéressent au développement de techniques permettant d'analyser les données hyper-structurées que nous procurent ces images. Nous voulons brosser ici un tableau des progrès accomplis dans ce domaine en nous attardant plus particulièrement à deux de leurs applications. La première concerne la classification de parcelles de terre en fonction de l'utilisation des sols à partir d'une composition photographique réalisée par satellite. La seconde application à trait a la micrographie des électrons. [ABSTRACT FROM AUTHOR]
Textural analysis is now a commonly used technique in digital imageprocessing. In this paper, we present an application of textural analysis to high resolution SPOT satellite images. The purpose of the methodology is...
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作者：
AnonIEEE
Atlanta Section Atlanta GA USA IEEE Atlanta Section Atlanta GA USA
This conference proceedings contains 64 papers. Topics covered are: integrated circuit obsolescence;developing and funding the new technology company;compatibility of new technology IC's with the EM environment;ad...
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This conference proceedings contains 64 papers. Topics covered are: integrated circuit obsolescence;developing and funding the new technology company;compatibility of new technology IC's with the EM environment;advances in biomedical engineering;advantages of ASIC design centers;hardware and software aspects of interfacing;single chip programmable digital signal processors;building number-crunchers with LSI data-path elements;research in design automation for electronic systems;artificial intelligence applications for industrial control and monitor systems;new alternatives in user programmable logic devices;microwave and millimeter wave measurement standards and techniques;memory innovations and memory support circuits;remotesensing;and optics in computing, data processing, and patternrecognition.
A cross-shaped target can be decomposed to four legs which are called shape primitives in structural patternrecognition. The MATs of these primitives are approximately four line segments. The main problem in recogniz...
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ISBN:
(纸本)0937294764
A cross-shaped target can be decomposed to four legs which are called shape primitives in structural patternrecognition. The MATs of these primitives are approximately four line segments. The main problem in recognizing the center of a cross, after the decomposition is to quickly determine two pairs of line segments such that each pair consists of two line segments with the same orientation. The preprocessing classifies the target from the background and the other objects. The boundaries are then traced and decomposed into four sections according to certain rules. Four sections are grouped into two pairs and some schemes are used to determine the MAT for each pair. Finally, the MATs are fitted with theoretical lines and their intersection is the center of the cross.
A continuous two-dimensional region is partitioned into a fine rectangular array of sites or “pixels”, each pixel having a particular “colour” belonging to a prescribed finite set. The true colouring of the region...
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A continuous two-dimensional region is partitioned into a fine rectangular array of sites or “pixels”, each pixel having a particular “colour” belonging to a prescribed finite set. The true colouring of the region is unknown but, associated with each pixel, there is a possibly multivariate record which conveys imperfect information about its colour according to a known statistical model. The aim is to reconstruct the true scene, with the additional knowledge that pixels close together tend to have the same or similar colours. In this paper, it is assumed that thelocalcharacteristics of the true scene can be represented by a non-degenerate Markov random field. Such information can be combined with the records by Bayes' theorem and the true scene can be estimated according to standard criteria. However, the computational burden is enormous and the reconstruction may reflect undesirable large-scale properties of the random field. Thus, a simple, iterative method of reconstruction is proposed, which does not depend on these large-scale characteristics. The method is illustrated by computer simulations in which the original scene isnotdirectly related to the assumed random field. Some complications, including parameter estimation, are discussed. Potential applications are mentioned briefly.
The feature extraction step is one of the most important in the recognition process of unknown patterns. As is well known, very fast feature extraction algorithms are required in a very large number of pattern recogni...
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ISBN:
(纸本)0892526920
The feature extraction step is one of the most important in the recognition process of unknown patterns. As is well known, very fast feature extraction algorithms are required in a very large number of patternrecognition fields. One of the newest methods for solving this problem very quickly is the use of parallel machines. In this work, a new type of Cellular Turing Acceptor is presented. Some of its applications for feature extraction from chain-codes are also reported.
NEC has been instrumental in establishing both the first- and second-generation digital signal processors. NEC's mu PD7720 is the first-generation digital signal processor (DSP). It was the first DSP device to emp...
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NEC has been instrumental in establishing both the first- and second-generation digital signal processors. NEC's mu PD7720 is the first-generation digital signal processor (DSP). It was the first DSP device to employ Harvard architecture. To meet special requirements, there is an EPROM version ( mu PD77P20), a mask ROM version ( mu PD7720A), low-power CMOS mask ROM version ( mu PD77C20A), as well as versions for extended temperature and higher speeds. The first-generation DSP found a wide range of applications. Algorithms for industrial applications running off-line on main-frame computers, or in real time on expensive and inflexible array processors could be performed on the mu PD7720. Several areas that have experienced the most gain from DSP chips are: telecommunications (modem, switching, echo/noise cancelling), military (radar, sonar, remotesensing), instrumentation (filters, correlators, FFT), industry (robotics, imageprocessing), speech processing (compression, recognition, synthesis), and consumer electronics (digital audio, sound synthesis).
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