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" VLSI for Pattern Recognition and Image Processing "
edited by King-sun Fu.
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BL
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| Record Number
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748632
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b568588
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| Main Entry
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edited by King-sun Fu.
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| Title & Author
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VLSI for Pattern Recognition and Image Processing\ edited by King-sun Fu.
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| Publication Statement
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Berlin, Heidelberg : Springer Berlin Heidelberg, 1984
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| Series Statement
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Springer series in information sciences, 13.
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| ISBN
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364247523X
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: 3642475272
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: 9783642475238
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: 9783642475276
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| Contents
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1.1 VLSI System --; 1.2 VLSI Algorithms --; 1.3 Summary of Book --; References --; I General VLSI Design Considerations --; 2. One-Dimensional Systolic Arrays for Multidimensional Convolution and Resampling --; 3. VLSI Arrays for Pattern Recognition and Image Processing: I/O Bandwidth Considerations --; II VLSI Systems for Pattern Recognition --; 4. VLSI Arrays for Minimum-Distance Classifications --; 5. Design of a Pattern Cluster Using Two-Level Pipelined Systolic Array --; 6. VLSI Arrays for Syntactic Pattern Recognition --; III VLSI Systems for Image Processing --; 7. Concurrent Systems for Image Analysis --; 8. VLSI Wavefront Arrays for Image Processing --; 9. Curve Detection in VLSI --; 10. VLSI Implementation of Cellular Logic Processors --; 11. Design of VLSI Based Multicomputer Architecture for Dynamic Scene Analysis --; 12. VLSI-Based Image Resampling for Electronic Publishing.
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| Abstract
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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 for PRIP applications.
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| Subject
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Computer vision.
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Engineering.
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Optical pattern recognition.
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| LC Classification
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TA1632.E358 1984
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| Added Entry
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King-sun Fu
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