Overview

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.

Full Product Details

Author:   Alireza Moini
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2000 ed.
Volume:   526
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.498kg
ISBN:  

9781461374022

ISBN 10:   1461374022
Pages:   300
Publication Date:   12 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

I Introduction and Background.- 1 Introduction.- Computer Vision for Analog VLSI.- 3 Analog VLSI for Computer Vision.- II Synthesis of Vision Algorithms.- 4 Vision Chips Architectures.- 5 Building Blocks for Vision Chips.- 6 Testing vision chips.- 7 Other Design Issues.- III Vision Sensors.- 8 Spatial Vision Chips.- 9 Spatio-Temporal Vision Chips.- 10 Analog VLSI Chips for Vision Processing.- IV Case Studies.- 11 Bugeye II: The Second Insect Vision Motion Detection Chip.- 12 Bugeye V.- 13 MNCSI.- V Appendices.- A Quantum Efficiency of Photodetectors.- A. 1 Quantum Efficiency of a Vertical Junction Diode.- A. 2 Quantum Efficiency of a Lateral Junction Diode.- A. 3 Quantum Efficiency of a Vertical Bipolar transistor.- A. 4 Quantum Efficiency of a Lateral Bipolar Photodetector.- A. 5 Mixed structures.- A. 6 Quantum Efficiency of a Photogate.- B Analysis of Second-Order Resistive Networks.- B. 1 Stability.- B. 2 Impulse Response.

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