Issues on Machine Vision

  • G. G. Pieroni

Part of the International Centre for Mechanical Sciences book series (CISM, volume 307)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Nihat Adar, Atila Barkana, Sabin Kocak
    Pages 1-11
  3. C. Arcelli, G. Sanniti di Baja
    Pages 13-23
  4. S. Baronti, A. Casini, F. Lotti, V. Roberto, C. Vanello
    Pages 25-39
  5. V. Cantoni, A. Griffini, L. Lombardi
    Pages 55-82
  6. Orkun Celik, Nihat Adar, Atalay Barkana
    Pages 83-94
  7. S. Dellepiane, C. S. Regazzoni, S. B. Serpico, C. Vernazza
    Pages 105-116
  8. V. Di Gesù, B. Lenzitti, D. Tegolo
    Pages 117-133
  9. V. Di Gesù, M. C. Maccarone
    Pages 135-147
  10. H. Freeman
    Pages 149-161
  11. O. Johnson, G. Pieroni, M. Rakotomalala
    Pages 163-175
  12. S. Levialdi
    Pages 177-208
  13. G. G. Pieroni, S. P. Tripathy
    Pages 221-247
  14. V. Roberto, A. Peron, P. L. Fumis
    Pages 263-274
  15. A. Saroldi
    Pages 275-280

About this book

Introduction

A machine vision system should be able to analyze images and produce descriptions of what it "sees". The descriptions should capture the aspects of the objects being imaged and be useful for accomplishing some specific tasks. In this volume a number of subjects are discussed. They include theoretical aspects which focus on shape analysis, special architectures, 3-D image decomposition, inspection by machine vision, and others. Applications include geophysical image analysis, robotics, sparse image understanding, biomedical applications. An ample survey of the present industrial applications is also provided.

Keywords

architecture architectures image analysis machine vision object robot robotics system Volume

Editors and affiliations

  • G. G. Pieroni
    • 1
  1. 1.Università di UdineItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7091-2830-5
  • Copyright Information CISM Udine 1989
  • Publisher Name Springer, Vienna
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-211-82148-0
  • Online ISBN 978-3-7091-2830-5
  • Series Print ISSN 0254-1971
  • Series Online ISSN 2309-3706
  • About this book