Ebook: Knowledge-Based Image Processing Systems

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.

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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.

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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.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Introduction to Knowledge-Based Systems....Pages 3-13
Knowledge-Based System Architectures and Applications....Pages 15-26
Knowledge Elicitation....Pages 27-40
Knowledge Representation....Pages 41-55
Neural Networks....Pages 57-80
Front Matter....Pages 81-81
Introduction to Image Processing....Pages 83-90
Frequency Space Analysis....Pages 91-104
Image Enhancement in Real Space....Pages 105-116
Image Segmentation and Analysis....Pages 117-127
Front Matter....Pages 129-129
Introduction....Pages 131-132
Current Knowledge-Based Image Processing Systems....Pages 133-142
Knowledge-Based Image Processing: The Way Forward....Pages 143-145
Summary and Conclusions....Pages 147-150
Back Matter....Pages 151-178

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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.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Introduction to Knowledge-Based Systems....Pages 3-13
Knowledge-Based System Architectures and Applications....Pages 15-26
Knowledge Elicitation....Pages 27-40
Knowledge Representation....Pages 41-55
Neural Networks....Pages 57-80
Front Matter....Pages 81-81
Introduction to Image Processing....Pages 83-90
Frequency Space Analysis....Pages 91-104
Image Enhancement in Real Space....Pages 105-116
Image Segmentation and Analysis....Pages 117-127
Front Matter....Pages 129-129
Introduction....Pages 131-132
Current Knowledge-Based Image Processing Systems....Pages 133-142
Knowledge-Based Image Processing: The Way Forward....Pages 143-145
Summary and Conclusions....Pages 147-150
Back Matter....Pages 151-178
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