Advances in Machine Vision

1. Front Matter

   Pages i-xii

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2. Active Optical Range Imaging Sensors

   • Paul J. Besl

   Pages 1-63

3. 3-D Structures from 2-D Images

   • J. K. Aggarwal, C. H. Chien

   Pages 64-121

4. 3-D Sensing for Industrial Computer Vision

   • Denis Poussart, Denis Laurendeau

   Pages 122-159

5. Methodology for Automatic Image-Based Inspection of Industrial Objects

   • Kristina Hedengren

   Pages 160-191

6. A Design Data-Based Visual Inspection System for Printed Wiring

   • Olli Silvén, Ilkka Virtanen, Tapani Westman, Timo Piironen, Matti Pietikäinen

   Pages 192-212

7. Extracting Masks from Optical Images of VLSI Circuits

   • Hong Jeong, Bruce R. Musicus

   Pages 213-254

8. Control-Free Low-Level Image Segmentation: Theory, Architecture, and Experimentation

   • W. E. Blanz, J. L. C. Sanz, D. Petkovic

   Pages 255-282

9. Computer Vision: Algorithms and Architectures

   • Concettina Guerra, Stefano Levialdi

   Pages 283-296

10. Image Understanding Architecture and Applications

    • David B. Shu, Greg Nash, Charles Weems

    Pages 297-355

11. IDATEN: A Reconfigurable Video-Rate Image Processor

    • Shigeru Sasaki, Toshiyuki Gotoh, Masumi Yoshida

    Pages 356-380

12. Applying Iconic Processing in Machine Vision

    • Robert M. Lougheed, David McCubbrey, Ramesh Jain

    Pages 381-415

13. Back Matter

    Pages 417-420

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Machine Vision technology is becoming an indispensible part of the manufacturing industry. Biomedical and scientific applications of machine vision and imaging are becoming more and more sophisticated, and new applications continue to emerge. This book gives an overview of ongoing research in machine vision and presents the key issues of scientific and practical interest. A selected board of experts from the US, Japan and Europe provides an insight into some of the latest work done on machine vision systems and appliccations.

• Hough transform
• Image segmentation
• Optical flow
• Performance
• Stereo
• Triangulation
• VLSI
• algorithms
• architecture
• computer vision
• knowledge representation
• machine vision
• shading
• simulation

• IBM Almaden Research Center, San Jose, USA

  Jorge L. C. Sanz

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