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VLSI for Pattern Recognition and Image Processing

  • Book
  • © 1984

Overview

Editors:
  1. King-sun Fu

    1. School of Electrical Engineering, Purdue University, West Lafayette, USA

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Part of the book series: Springer Series in Information Sciences (SSINF, volume 13)

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Table of contents (12 chapters)

  1. Front Matter

    Pages I-XII
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  2. Introduction

    1. Introduction

      • K. S. Fu
      Pages 1-5

  3. General VLSI Design Considerations

    1. Front Matter

      Pages 7-7
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    2. One-Dimensional Systolic Arrays for Multidimensional Convolution and Resampling

      • H. T. Kung, R. L. Picard
      Pages 9-24

    3. VLSI Arrays for Pattern Recognition and Image Processing: I/O Bandwidth Considerations

      • T. Y. Young, P. S. Liu
      Pages 25-42

  4. VLSI Systems for Pattern Recognition

    1. Front Matter

      Pages 43-43
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    2. VLSI Arrays for Minimum-Distance Classifications

      • Hsi-Ho Liu, King-Sun Fu
      Pages 45-63

    3. Design of a Pattern Cluster Using Two-Level Pipelined Systolic Array

      • L. M. Ni, A. K. Jain
      Pages 65-83

    4. VLSI Arrays for Syntactic Pattern Recognition

      • Y. P. Chiang, K. S. Fu
      Pages 85-104

  5. VLSI Systems for Image Processing

    1. Front Matter

      Pages 105-105
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    2. Concurrent Systems for Image Analysis

      • G. R. Nudd
      Pages 107-132

    3. VLSI Wavefront Arrays for Image Processing

      • S.-Y. Kung, J. T. Johl
      Pages 133-155

    4. Curve Detection in VLSI

      • M. J. Clarke, C. R. Dyer
      Pages 157-173

    5. VLSI Implementation of Cellular Logic Processors

      • K. Preston Jr., A. G. Kaufman, C. Sobey
      Pages 175-194

    6. Design of VLSI Based Multicomputer Architecture for Dynamic Scene Analysis

      • D. P. Agrawal, G. C. Pathak
      Pages 195-208

    7. VLSI-Based Image Resampling for Electronic Publishing

      • Z. Z. Stroll, S.-C. Kang
      Pages 209-229

  6. Back Matter

    Pages 231-236
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Keywords

About this book

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.

Editors and Affiliations

  • School of Electrical Engineering, Purdue University, West Lafayette, USA

    King-sun Fu

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