Knowledge-Based Image Processing Systems

by Deryn Graham, Anthony Barrett

Overview

Knowledge-based (or expert systems) and image processing have been applied to many domains but, although both fields frequently address common application areas, they are rarely applied together. Often a combined knowledge-based system and image processing approach can be highly appropriate and this book provides an insight into both areas and show students how a judicious mix of the two can result in a more effective system. The authors include detailed case studies to illustrate the two approaches as well as worked examples and solutions to problems throughout the text. Third and fourth year undergraduates and MSc students with some computer science background will find this book invaluable. Postgraduates and researchers looking for an introduction to either area - or ways to combine the two - will also welcome this clearly written and comprehensive text.

Product Details

ISBN-13:	9783540760276
Publisher:	Springer London
Publication date:	05/09/1997
Series:	Applied Computing
Edition description:	1997
Pages:	178
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1 Introduction to Knowledge-Based Systems.- 2 Knowledge-Based System Architectures and Applications.- 3 Knowledge Elicitation.- 4 Knowledge Representation.- 5 Neural Networks.- 6 Introduction to Image Processing.- 7 Frequency Space Analysis.- 8 Image Enhancement in Real Space.- 9 Image Segmentation and Analysis.- 10 Introduction.- 11 Current Knowledge-Based Image Processing Systems.- 12 Knowledge-Based Image Processing: The Way Forward..- 13 Summary and Conclusions.- Appendix A: Exercises and Further Reading.- References.- Author Index.