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Titlebook: VLSI for Pattern Recognition and Image Processing; King-sun Fu Book 1984 Springer-Verlag Berlin Heidelberg 1984 Bildverarbeitung.Mustererk

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書目名稱VLSI for Pattern Recognition and Image Processing
編輯King-sun Fu
視頻videohttp://file.papertrans.cn/981/980109/980109.mp4
叢書名稱Springer Series in Information Sciences
圖書封面Titlebook: VLSI for Pattern Recognition and Image Processing;  King-sun Fu Book 1984 Springer-Verlag Berlin Heidelberg 1984 Bildverarbeitung.Mustererk
描述During the past two decades there has been a considerable growth in interest in problems of pattern recognition and image processing (PRIP). This inter- est has created an increasing need for methods and techniques for the design of PRIP systems. PRIP involves analysis, classification and interpretation of data. Practical applications of PRIP include character recognition, re- mote sensing, analysis of medical signals and images, fingerprint and face identification, target recognition and speech understanding. One difficulty in making PRIP systems practically feasible, and hence, more popularly used, is the requirement of computer time and storage. This situation is particularly serious when the patterns to be analyzed are quite complex. Thus it is of the utmost importance to investigate special comput- er architectures and their implementations for PRIP. Since the advent of VLSI technology, it is possible to put thousands of components on one chip. This reduces the cost of processors and increases the processing speed. VLSI algorithms and their implementations have been recently developed for PRIP. This book is intended to document the recent major progress in VLSI system design f
出版日期Book 1984
關(guān)鍵詞Bildverarbeitung; Mustererkennung; VLSI; algorithm; algorithms; classification; fingerprint; image processi
版次1
doihttps://doi.org/10.1007/978-3-642-47523-8
isbn_softcover978-3-642-47527-6
isbn_ebook978-3-642-47523-8Series ISSN 0720-678X
issn_series 0720-678X
copyrightSpringer-Verlag Berlin Heidelberg 1984
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Introduction with feature sizes approaching 1 micrometer. This advancement of IC technology promises the usage of much-smaller-sized transistors and wires, and has also increased the density of the circuitry. In addition, the reduced size results in faster and/or lower power operations [1.2,3].
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VLSI Arrays for Pattern Recognition and Image Processing: I/O Bandwidth ConsiderationsThe computation speed of an array is often limited by the I/O bandwidth of the host system or the VLSI array. Reconfiguration techniques are used to restructure a computing array, so that successive functional computation steps can be carried out without the data leaving the array. Computation time
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VLSI Arrays for Syntactic Pattern Recognitione or improve numerous areas of research and applications for computers. One of these areas is machine intelligence. In fact, machines with limited degrees of intelligence are already becoming an integral part of our lives. Examples range from sophisticated toys, health care, assembly automation and
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Concurrent Systems for Image Analysisal years. In the course of this program our group has explored several areas germane to both software and hardware, our particular interest being the efficient and effective mapping of image analysis algorithms onto Very Large Scale Integration (VLSI) hardware. We describe here a number of processin
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