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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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Design of VLSI Based Multicomputer Architecture for Dynamic Scene Analysissuitability of such systems for specific applications largely depends on some sort of match between the architecture and the algorithm(s) to be implemented. This work provides an objective approach of assessing the performance of an architecture for real-time dynamic scene analysis and outlines the
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Book 1984r­ 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
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Concurrent Systems for Image Analysisl microelectronic processor [7.3]. In each case we have validated our concepts by operational hardware. The intent of this paper is to provide an overview of the problems and issues inherent in applying these VLSI technologies to image analysis and where necessary we refer to the existing publications for greater detail on each topic.
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VLSI Arrays for Pattern Recognition and Image Processing: I/O Bandwidth Considerationsestructure a computing array, so that successive functional computation steps can be carried out without the data leaving the array. Computation time is reduced, since with reconfiguration the limited I/O bandwidth affects only the first and last phases of the necessary computations.
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VLSI Arrays for Syntactic Pattern Recognitionrees of intelligence are already becoming an integral part of our lives. Examples range from sophisticated toys, health care, assembly automation and national defense. Pattern recognition techniques are among the most important tools used in the field of machine intelligence.
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