Intelligent Visual Inspection: Using artificial neural networks
Author:   R. Rosandich
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1997
ISBN:  

9781461285106


Pages:   306
Publication Date:   15 January 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Intelligent Visual Inspection: Using artificial neural networks


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Overview

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.

Full Product Details

Author:   R. Rosandich
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1997
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.498kg
ISBN:  

9781461285106


ISBN 10:   1461285100
Pages:   306
Publication Date:   15 January 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

One: Introduction.- 1. Intelligent manufacturing.- 2. Intelligent visual inspection.- Two: Fundamentals of Artificial Vision Systems.- 3. Biological vision systems.- 4. Artificial neural networks for pattern recognition.- Three: Artificial Vision Systems Design.- 5. Image acquisition and storage.- 6.6 Low-level image processing.- 7. Intermediate image processing.- 8. Computational approach to artificial vision.- 9. Connectionist approach to artificial vision.- 10.1 Introduction.- Four: Case Studies.- 11. Automated visual inspection systems.- 12. Future of automated visual inspection.- Appendix A.- Appendix B.- References.

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