Machine Vision - 1st Edition - ISBN: 9780122667206, 9780323155724

Machine Vision

1st Edition

Algorithms, Architectures, and Systems

Editors: Herbert Freeman
eBook ISBN: 9780323155724
Imprint: Academic Press
Published Date: 28th April 1988
Page Count: 328
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Description

Machine Vision: Algorithms, Architectures, and Systems contains the proceedings of the workshop ""Machine Vision: Where Are We and Where Are We Going?"" sponsored by the Center for Computer Aids for Industrial Productivity (CAIP) at Rutgers University and held in April 1987 in New Brunswick, New Jersey. The papers review the state of the art of machine vision and sets directions for future research. Topics covered include ""smart sensing"" in machine vision, computer architectures for machine vision, and range image segmentation. Comprised of 14 chapters, this book opens with an overview of ""smart sensing"" strategies in machine vision and illustrates how smart sensing may fit into a general purpose vision system by implementing a flexible, modular system called Pipeline Pyramid Machine. The discussion then turns to a hierarchy of local autonomy for processor arrays, focusing on the progression from pure SIMD to complete MIMD as well as the hardware penalties that arise when autonomy is increased. The following chapters explore schemes for integrating vision modules on fine-grained machines; computer architectures for real-time machine vision systems; the application of machine vision to industrial inspection; and characteristics of technologies and social processes that are inhibiting the development and/or evolution of machine vision. Machine vision research at General Motors is also considered. The final chapter assesses future prospects for machine vision and highlights directions for research.
This monograph will be a useful resource for practitioners in the fields of computer science and applied mathematics.

Table of Contents


Preface

'Smart Sensing' in Machine Vision

Introducing Local Autonomy to Processor Arrays

Integrating Vision Modules on a Fine-Grained Parallel Machine

Computer Architectures for Machine Vision

Machine Vision Architectures and Systems — A Discussion

Industrial Machine Vision — Is it Practical?

A Perspective on Machine Vision at General Motors

Industrial Machine Vision: Where are We? What Do We Need? How Do We Get it?

Bottlenecks to Effective Application of Machine Vision — A Discussion

Inference of Object Surface Structure from Structured Lighting — An Overview

Range Image Segmentation

Learning Structural Descriptions of Shape

Machine Vision as State-Space Search

Directions for Future Research - A Panel Discussion


Details

No. of pages:
328
Language:
English
Copyright:
© Academic Press 1988
Published:
Imprint:
Academic Press
eBook ISBN:
9780323155724

About the Editor

Herbert Freeman