Advances in Machine Vision

  • Jorge L. C. Sanz

Part of the Springer Series in Perception Engineering book series (SSPERCEPTION)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Paul J. Besl
    Pages 1-63
  3. J. K. Aggarwal, C. H. Chien
    Pages 64-121
  4. Denis Poussart, Denis Laurendeau
    Pages 122-159
  5. Olli Silvén, Ilkka Virtanen, Tapani Westman, Timo Piironen, Matti Pietikäinen
    Pages 192-212
  6. Hong Jeong, Bruce R. Musicus
    Pages 213-254
  7. W. E. Blanz, J. L. C. Sanz, D. Petkovic
    Pages 255-282
  8. Concettina Guerra, Stefano Levialdi
    Pages 283-296
  9. David B. Shu, Greg Nash, Charles Weems
    Pages 297-355
  10. Shigeru Sasaki, Toshiyuki Gotoh, Masumi Yoshida
    Pages 356-380
  11. Robert M. Lougheed, David McCubbrey, Ramesh Jain
    Pages 381-415
  12. Back Matter
    Pages 417-420

About this book


Machine Vision technology is becoming an indispensible part of the manufacturing industry. Biomedical and scientific applications of machine vision and imaging are becoming more and more sophisticated, and new applications continue to emerge. This book gives an overview of ongoing research in machine vision and presents the key issues of scientific and practical interest. A selected board of experts from the US, Japan and Europe provides an insight into some of the latest work done on machine vision systems and appliccations.


Hough transform Image segmentation Optical flow Performance Stereo Triangulation VLSI algorithms architecture computer vision knowledge representation machine vision shading simulation

Editors and affiliations

  • Jorge L. C. Sanz
    • 1
  1. 1.IBM Almaden Research CenterSan JoseUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1989
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8866-4
  • Online ISBN 978-1-4612-4532-2
  • Series Print ISSN 1431-858X
  • Buy this book on publisher's site