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Intelligent Visual Inspection

Using artificial neural networks

  • Book
  • © 1997

Overview

Authors:
  1. Ryan G. Rosandich

    1. Department of Industrial Engineering, University of Minnesota-Duluth, Duluth, USA

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Part of the book series: Intelligent Engineering Systems Series (IESS)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Intelligent manufacturing

      • Ryan G. Rosandich
      Pages 3-12

    3. Intelligent visual inspection

      • Ryan G. Rosandich
      Pages 13-28

  3. Fundamentals of Artificial Vision Systems

    1. Front Matter

      Pages 29-29
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    2. Biological vision systems

      • Ryan G. Rosandich
      Pages 31-53

    3. Artificial neural networks for pattern recognition

      • Ryan G. Rosandich
      Pages 54-93

  4. Artificial Vision Systems Design

    1. Front Matter

      Pages 95-95
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    2. Image acquisition and storage

      • Ryan G. Rosandich
      Pages 97-122

    3. Low-level image processing

      • Ryan G. Rosandich
      Pages 123-136

    4. Intermediate image processing

      • Ryan G. Rosandich
      Pages 137-155

    5. Computational approach to artificial vision

      • Ryan G. Rosandich
      Pages 156-179

    6. Connectionist approach to artificial vision

      • Ryan G. Rosandich
      Pages 180-216

    7. Experimental evaluation of the CAMERA vision model

      • Ryan G. Rosandich
      Pages 217-259

  5. Case Studies

    1. Front Matter

      Pages 261-261
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    2. Automated visual inspection systems

      • Ryan G. Rosandich
      Pages 263-273

    3. Future of automated visual inspection

      • Ryan G. Rosandich
      Pages 274-282

  6. Back Matter

    Pages 283-306
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Industrial Engineering, University of Minnesota-Duluth, Duluth, USA

    Ryan G. Rosandich

Bibliographic Information

  • Book Title: Intelligent Visual Inspection

  • Book Subtitle: Using artificial neural networks

  • Authors: Ryan G. Rosandich

  • Series Title: Intelligent Engineering Systems Series

  • DOI: https://doi.org/10.1007/978-1-4613-1201-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Ryan G. Rosendich 1997

  • Hardcover ISBN: 978-0-412-70800-8Published: 31 December 1996

  • Softcover ISBN: 978-1-4612-8510-6Published: 15 January 2013

  • eBook ISBN: 978-1-4613-1201-7Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XII, 306

  • Topics: Manufacturing, Machines, Tools, Processes, Artificial Intelligence

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