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Real-Time Parallel Computing

Imaging Analysis

  • Morio Onoe
  • Kendall PrestonJr.
  • Azriel Rosenfeld

Table of contents

  1. Front Matter
    Pages i-xviii
  2. General Theory

    1. R. M. Haralick
      Pages 11-35
    2. P. A. Nagin, A. R. Hanson, M. Riseman
      Pages 37-61
    3. A. Rosenfeld
      Pages 63-71
  3. Languages

    1. H. Enomoto, T. Katayama, N. Yonezaki, I. Miyamura
      Pages 95-105
    2. S. Levialdi, A. Maggiolo-Schettini, M. Napoli, G. Uccella
      Pages 131-143
    3. K. Preston Jr.
      Pages 145-158
  4. Techniques

  5. Hardware and Systems

    1. M. Hatori, Y. Taki
      Pages 227-240
    2. J. Iisaka, S. Ito, T. Fujisaki, Y. Takao
      Pages 257-265
    3. T. Kamae, T. Hoshino, M. Okada, M. Nagura
      Pages 267-278
    4. M. Kidode, H. Asada, H. Shinoda, S. Watanabe
      Pages 279-296
    5. H. Matsushima, T. Uno, M. Ejiri
      Pages 325-338
    6. S. R. Sternberg
      Pages 347-359
  6. Back Matter
    Pages 381-397

About this book

Introduction

This book is concerned with the aspects of real-time, parallel computing which are specific to the analysis of digitized images including both the symbolic and semantic data derived from such images. The subjects covered encompass processing, storing, and transmitting images and image data. A variety of techniques and algorithms for the analysis and manipulation of images are explored both theoretically and in terms of implementation in hardware and software. The book is organized into four topic areas: (1) theo­ retical development, (2) languages for image processing, (3) new computer techniques, and (4) implementation in special purpose real-time digital systems. Computer utilization, methodology, and design for image analy­ sis presents special and unusual problems. One author (Nagao)* points out that, "Human perception of a scene is very complex. It has not been made clear how perception functions, what one sees in a picture, and how one understands the whole picture. It is almost certain that one carries out a very quick trial-and-error process, starting from the detection of gross prominent features and then analyzing details, using one's knowledge of the world. " Another author (Duff) makes the observation that, "It is therefore more difficult to write computer programs which deal with images than those which deal with numbers, human thinking about arithmetic being a largely conscious activity.

Keywords

Area algorithms arithmetic cluster computer design development function functions hardware image processing implementation language parallel computing software

Editors and affiliations

  • Morio Onoe
    • 1
  • Kendall PrestonJr.
    • 2
  • Azriel Rosenfeld
    • 3
  1. 1.University of TokyoTokyoJapan
  2. 2.Carnegie-Mellon UniversiyPittsburghUSA
  3. 3.University of MarylandCollege ParkUSA

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