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๐Ÿ“

Intelligent Visual Inspection: Using artificial neural networks

โœ Scribed by Ryan G. Rosandich (auth.)

Publisher
Springer US
Year
1996
Tongue
English
Leaves
310
Series
Intelligent Engineering Systems Series
Edition
1
Category
Library
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โœฆ Synopsis

A great deal of research is being done in the areas of artificial vision and neural networks. Although much of this research has been theoretical in nature, many of the techniques developed through these efforts are now mature enough for use in practical applications. Automated Visual Inspection Using Artificial Neural Networks explains the application of recently emerging technology in the areas of artificial vision and neural networks to automated visual inspection. The information is organised in a clear, informative manner, bridging the gap between theoretical research and practical application. Significantly this book includes: * broad coverage of all aspects of the automated visual inspection problem, * details of the HAVENET neural network and the CAMERA vision model, and * detailed descriptions of practical applications of intelligent visual inspection.

โœฆ Table of Contents

Front Matter....Pages i-xii
Front Matter....Pages 1-1
Intelligent manufacturing....Pages 3-12
Intelligent visual inspection....Pages 13-28
Front Matter....Pages 29-29
Biological vision systems....Pages 31-53
Artificial neural networks for pattern recognition....Pages 54-93
Front Matter....Pages 95-95
Image acquisition and storage....Pages 97-122
Low-level image processing....Pages 123-136
Intermediate image processing....Pages 137-155
Computational approach to artificial vision....Pages 156-179
Connectionist approach to artificial vision....Pages 180-216
Experimental evaluation of the CAMERA vision model....Pages 217-259
Front Matter....Pages 261-261
Automated visual inspection systems....Pages 263-273
Future of automated visual inspection....Pages 274-282
Back Matter....Pages 283-306

โœฆ Subjects

Manufacturing, Machines, Tools; Artificial Intelligence (incl. Robotics)

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