Ideal for classroom use and self-study, this book explains the implementation of the most effective modern methods in image analysis.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Aly A. Farag is a Professor of Electrical and Computer Engineering, and founding Director of the Computer Vision and Image Processing Laboratory, at the University of Louisville. His research interests centre around object modelling with biomedical applications, and his more recent biomedical inventions have led to the development of improved methods for tubular object modelling, virtual colonoscopies and lung nodule detection and classification based on CT scans, real-time monitoring of vital signs from thermal imaging, and image-based reconstruction of the human jaw.
Inhaltsangabe
1. Overview of biomedical image analysis Part I. Signals and Systems, Image Formation, and Image Modality: 2. Overview of two-dimensional signals and systems 3. Biomedical imaging modalities Part II. Stochastic Models: 4. Random variables 5. Random processes 6. Basics of random fields 7. Probability density estimation by linear models Part III. Computational Geometry: 8. Basics of topology and computational geometry 9. Geometric features extraction Part IV. Variational Calculus and Level Set Methods: 10. Variational approaches and level sets Part V. Image Analysis Tools: 11. Segmentation - statistical approach 12. Segmentation - variational approach 13. Basics of registration 14. Variational methods for shape registrations 15. Statistical models of shape and appearance.
1. Overview of biomedical image analysis Part I. Signals and Systems, Image Formation, and Image Modality: 2. Overview of two-dimensional signals and systems 3. Biomedical imaging modalities Part II. Stochastic Models: 4. Random variables 5. Random processes 6. Basics of random fields 7. Probability density estimation by linear models Part III. Computational Geometry: 8. Basics of topology and computational geometry 9. Geometric features extraction Part IV. Variational Calculus and Level Set Methods: 10. Variational approaches and level sets Part V. Image Analysis Tools: 11. Segmentation - statistical approach 12. Segmentation - variational approach 13. Basics of registration 14. Variational methods for shape registrations 15. Statistical models of shape and appearance.
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