Intelligent Visual Inspection: Using artificial neural networks
Author:   R. Rosandich ,  Cihan H. Dagli
Publisher:   Chapman and Hall
Edition:   1997 ed.
ISBN:  

9780412708008


Pages:   306
Publication Date:   31 December 1996
Format:   Hardback
Availability:   In Print   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. This work explains the application of recently emerging technology in the areas of artificial vision and neural networks to automated visual inspection, aiming to to bridge the gap between theoretical research and practical application. Including 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, the text should serve as a reference book for researchers and graduate students interested in the areas of artificial vision, neural networks, automated visual inspection and quality control.

Full Product Details

Author:   R. Rosandich ,  Cihan H. Dagli
Publisher:   Chapman and Hall
Imprint:   Chapman and Hall
Edition:   1997 ed.
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   1.390kg
ISBN:  

9780412708008


ISBN 10:   0412708000
Pages:   306
Publication Date:   31 December 1996
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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