Intelligent Machine Vision : Techniques, Implementations and Applications /

Intelligent Machine Vision: Techniques, Implementations & Applications brings together the central issues involved in this exciting and topical subject. Drawing on half a century of combined experience, the authors describe state of the art and the latest developments in the field, including: -...

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Bibliographic Details
Main Author:	Batchelor, Bruce
Corporate Author:	SpringerLink (Online service)
Other Authors:	Waltz, Frederick
Format:	eBook
Language:	English
Published:	London : Springer London : Imprint : Springer, 2001.
Subjects:	Computer vision. Image processing > Digital techniques. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Machine Vision for Industrial Applications
Basic Machine Vision Techniques
Algorithms, Approximations and Heuristics
Systems Engineering
Algorithms and Architectures for Fast Execution
SKIPSM
A Powerful Implementation Paradigm
Adding Intelligence
Vision Systems on the Internet
Visual Programming for Machine Vision
Applications Case Studies
Final Remarks
Appendix A
Programmable Color Filter
Appendix B
A Brief Introduction to Prolog
Appendix C
PIP Commands and their Implementation
Index.