Overview
- Presents a critical selection of algorithms, illustrated explanations and concise mathematical derivations, for readers to gain a deeper understanding of the topic
- Encourages the reader to actively construct and experiment with the algorithms to develop their knowledge about how to use these methods in the real world
- Includes supplementary material: sn.pub/extras
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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Table of contents (11 chapters)
Reviews
From the reviews:
"This text is the second of three volumes by Burger and Burge to provide an algorithmic introduction to digital image processing. … This textbook is for academicians who want a mathematical or theoretical foundation that underlies the methods used, as well as for engineers who are interested in practical implementations of the most important algorithms. The volume is a very nice extension to the material and a worthwhile read." (Minette Carl, ACM Computing Reviews, August, 2009)
“This is the second textbook from authors three-book series for graduate and post-graduate courses covering digital image processing techniques; earlier the material appeared in one comprehensive volume Digital Image Processing: An Algorithmic Introduction using Java. This volume covers regions in binary images, curve and corner detecting, color spaces and quantization, transformations … and comparing/matching of images. The presentation is very algorithmic and expects hands-on experimentation with presented notions and algorithms, every chapter ends with exercises … .” (Jaak Henno, Zentralblatt MATH, Vol. 1185, 2010)
Authors and Affiliations
Bibliographic Information
Book Title: Principles of Digital Image Processing
Book Subtitle: Core Algorithms
Authors: Wilhelm Burger, Mark James Burge
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-1-84800-195-4
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Softcover ISBN: 978-1-84800-194-7Published: 02 April 2009
eBook ISBN: 978-1-84800-195-4Published: 08 July 2010
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 1
Number of Pages: XII, 332
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics