Geoff Dougherty

Digital Image Processing for Medical Applications (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 9. April 2009
• Englisch
• ISBN-13: 9781107713918
• Artikelnr.: 41007301

Autorenporträt

Geoff Dougherty is Professor of Applied Physics and Medical Imaging at California State University Channel Islands where he teaches both undergraduate and graduate courses in image processing, medical imaging and pattern recognition. He has been conducting research in the applications of image processing and analysis to medical images for over 15 years, and is the author of more than 60 publications. He is a Senior Member of the IEEE, a Fellow of the IET and a Member of the American Association of Physicists in Medicine (AAPM).

Inhaltsangabe

Preface
1. Introduction
2. Imaging systems
3. Medical images obtained with ionizing radiation
4. Medical images obtained with non-ionizing radiation
5. Fundamentals of digital image processing
6. Image enhancement in the spatial domain
7. Image enhancement in the frequency domain
8. Image restoration
9. Morphological image processing
10. Image segmentation
11. Feature recognition and classification
12. Three-dimensional visualization
13. Medical applications of imaging
14. Frontiers of image processing in medicine
Appendix A. The Fourier Series and Fourier Transform
Appendix B. Set theory and probability
Appendix C. Shape and texture
Bibliography
Index.