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).
The paper describes a sequence of stages which permit the extraction of uniform regions and their presentation by unbroken sequences of edge points with the minimization of noise points effects on a 100 multiplied by ...
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ISBN:
(纸本)0892526920
The paper describes a sequence of stages which permit the extraction of uniform regions and their presentation by unbroken sequences of edge points with the minimization of noise points effects on a 100 multiplied by 100 scene with 16 gray levels. Considering that the method was intended for industrial applications, it includes the elimination of background, in the first step, by employing the threshold calculated from the equalized histogram of the scene. The next step covers the filtering of quantization noise and the noise due to non-uniform illumination of working area, by fast logic clearing. The scene is then ready for extraction of contours of uniform regions, and location of residual structural noise due to inadequate resolution of camera of an emphatic discontinuity in illumination (Ex. shining objects). The final step covers the scene scanning by means of adaptive masks for elimination of structural noise and follower coding of uniform regions in the form of sequences of sucessive connected points. The scene coded in such a method comprizes all information about objects on it, and permits their recovery by employing patternrecognition algorithms.
A new algorithm is presented which produces various forms of linear quadtrees directly from a vector representation of a polygon. This algorithm takes advantage of specific properties of linear quadtrees and associate...
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A new algorithm is presented which produces various forms of linear quadtrees directly from a vector representation of a polygon. This algorithm takes advantage of specific properties of linear quadtrees and associated linear keys to infer the colors of all parts of the region not cut by the polygon boundary. The method is further extended to multicolored (rather than binary) linear quadtrees which may be useful in geographic information systems applications.","doi":"10.1109/TPAMI.1985.4767664","publicationTitle":"IEEE Transactions on pattern Analysis and Machine Intelligence","startPage":"344","endPage":"349","rightsLink":"http://***/AppDispatchServlet?publisherName=ieee&publication=0162-8828&title=Linear+Quadtrees+from+Vector+Representations+of+Polygons&isbn=&publicationDate=May+1985&author=David+M.+Mark&ContentID=10.1109/TPAMI.1985.4767664&orderBeanReset=true&startPage=344&endPage=349&volumeNum=PAMI-7&issueNum=3","displayPublicationTitle":"IEEE Transactions on pattern Analysis and Machine Intelligence","pdfPath":"/iel5/34/4767650/***","keywords":[{"type":"IEEE Keywords","kwd":["Vectors","Layout","patternrecognition","image registration","Digital images","imageprocessing","image segmentation","Satellites","remotesensing","Graphics"]},{"type":"Author Keywords ","kwd":["quadtree","Geographic information system"]}],"allowComments":false,"pubLink":"/xpl/***?punumber=34","issueLink":"/xpl/***?isnumber=4767650","standardTitle":"Linear Quadtrees from Vector Representations of Polygons
The task in remotesensing is to determine surface properties from images. This is difficult because the problem, formally posed, is underconstrained. Methods that infer scene properties from image features make assum...
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ISBN:
(纸本)0818606339
The task in remotesensing is to determine surface properties from images. This is difficult because the problem, formally posed, is underconstrained. Methods that infer scene properties from image features make assumptions about how the world determines what we see. The author explores some of these assumptions using examples from remotesensing where ancillary knowledge of the scene is available in the form of a digital terrain model and a ground cover map. The approach is to synthesize an image for a given data and time using available scene knowledge. Synthesis is based on a scene radiance equation that combines the bidirectional reflectance distribution function of the surface material, the spatial and spectral distribution of light sources, and a simple model of atmospheric attenuation and path radiance. Unknown parameters of the model are estimated from the real image. A comparison of the real image and the synthetic image is used to judge how well the model represents the mapping from scene to image.
This conference proceedings contains 14 papers, two of which are in abstract form only. The main subjects are local neighborhood operators, display of digital image data, remotesensing, image thinning algorithms, rea...
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ISBN:
(纸本)0869804731
This conference proceedings contains 14 papers, two of which are in abstract form only. The main subjects are local neighborhood operators, display of digital image data, remotesensing, image thinning algorithms, realtime data compression, syntactic edge detection algorithms, parallel processingimage computers, computer vision systems, shape recognition, and characterization of visual texture.
This conference proceedings contains 14 papers, two of which are in abstract form only. The main subjects are local neighbourhood operators, display of digital image data, remotesensing, image thinning algorithms, re...
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ISBN:
(纸本)0869804731
This conference proceedings contains 14 papers, two of which are in abstract form only. The main subjects are local neighbourhood operators, display of digital image data, remotesensing, image thinning algorithms, realtime data compression, syntactic edge detection algorithms, parallel processingimage computers, computer vision systems, shape recognition, and characterisation of visual texture.
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