Wilhelm Burger, Mark J. Burge

Digital Image Processing (eBook, PDF)

An Algorithmic Introduction Using Java

• Format: PDF

Produktbeschreibung

This is a hugely informative and highly practical book on a subject that is extremely relevant in today's world, where more and more households own and take pictures on digital cameras. Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing. In all, it is a compact introduction to the methods of the digital image processing.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 565
• Erscheinungstermin: 14. November 2009
• Englisch
• ISBN-13: 9781846289682
• Artikelnr.: 37339687

Autorenporträt

Dr. Wilhelm Burger is a faculty member of the University of Applied Sciences Upper Austria, Hagenberg, where he serves as Director of the Digital Media degree programs at the School of Informatics, Communications and Media. Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Handbook of Iris Recognition.

Inhaltsangabe

1. Digital Images.- 2. ImageJ.- 3. Histograms and Image Statistics.- 4. Point Operations.- 5. Filters.- 6. Edges and Contours.- 7. Corner Detection.- 8. Finding Simple Curves.- 9. Morphological Filters.- 10. Regions in Binary Images.- 11. Automatic Thresholding.- 12. Color Images.- 13. Color Quantization.- 14. Colorimetric Color Spaces.- 15. Filters for Color Images.- 16. Edge Detection in Color Images.- 17. Edge-Preserving Smoothing Filters.- 18. Introduction to Spectral Techniques.- 19. The Discrete Fourier Transform in 2D.- 20. Geometric Operations.