Vision Chips

  • Alireza┬áMoini

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Introduction and Background

    1. Front Matter
      Pages xvii-xvii
    2. Alireza Moini
      Pages 1-5
    3. Alireza Moini
      Pages 7-22
    4. Alireza Moini
      Pages 23-44
  3. Synthesis of Vision Algorithms

    1. Front Matter
      Pages 45-48
    2. Alireza Moini
      Pages 49-63
    3. Alireza Moini
      Pages 65-100
    4. Alireza Moini
      Pages 101-107
    5. Alireza Moini
      Pages 109-128
  4. Vision Sensors

    1. Front Matter
      Pages 129-129
    2. Alireza Moini
      Pages 131-162
    3. Alireza Moini
      Pages 163-197
    4. Alireza Moini
      Pages 199-203
  5. Case Studies

  6. Back Matter
    Pages 243-300

About this book

Introduction

This chapter presents a set of introductory material, which in addition to providing a general view on the topic, highlights the importance of research in this area. It also presents a short history of the design of smart vision sensors, and points out some of the fundamental issues in the design of such sensors. 1. 1 A General Overview Machine vision is one of the main branches of artificial intelligence. The richness of information present in images makes them the first choice as an input to an artificial system which tries to interact with its environment. A large proportion of the brain of many advanced species is dedicated to visual information processing, which illustrates the importance of visual information in biological systems. Biological visual systems have evolved over millions of years, and each specie has developed a specialized visual system tailored for the essential tasks of survival, such as catching a prey, or escaping a predator. Implementing electronic hardware for image processing, therefore, may benefit from the underlying fundamental aspects of biological vision, though in no respect should this be regarded as a solid framework for electronic vision systems. Traditionally, computer vision algorithms are performed on images captured by conventional cameras, and processing is accomplished by means of general purpose digital computers. More advanced systems utilize dedicated hardware to speed up the processing stage.

Keywords

Sensor VLSI Vision Sensor algorithms analog computer computer vision network

Authors and affiliations

  • Alireza┬áMoini
    • 1
  1. 1.The University of AdelaideAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-5267-3
  • Copyright Information Kluwer Academic Publishers 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7402-2
  • Online ISBN 978-1-4615-5267-3
  • Series Print ISSN 0893-3405
  • About this book