Buch, Englisch, 178 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 306 g
Reihe: Applied Computing
Buch, Englisch, 178 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 306 g
Reihe: Applied Computing
ISBN: 978-3-540-76027-6
Verlag: Springer
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.
Zielgruppe
Lower undergraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Angewandte Optik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
Weitere Infos & Material
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.
