Summary
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: - fundamentals of 'intelligent' image processing, specifically intended for Machine Vision systems; - algorithm optimization; - implementation in high-speed electronic digital hardware; - implementation in an integrated high-level software environment; - applications for industrial product quality and process control. There are hundreds of illustrations in the book, most of them created using the author's 'PIP' software - a sophisticated intelligent image processing package. A demonstration version of this software, as well as numerous examples from the book, are available at the authors' Web site: http://bruce.cs.cf.ac.uk/bruce/index.html |
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. |
