Overview
- This reader-friendly textbook concentrates on practical applications and working implementations whilst also presenting the important formal details and mathematics necessary for a deeper understanding of the algorithms
- Comprehensive yet concise, this text contains many learning aids throughout such as end of chapter exercises, detailed illustrations, comprehensive introductory chapter and helpful appendices
- Includes supplementary material: sn.pub/extras
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. The text compiles the key elements of digital image processing, starting from the basic concepts and elementary properties of digital images through simple statistics and point operations, fundamental filtering techniques, localization of edges and contours, and basic operations on color images. Mastering these most commonly used techniques will enable the reader to start being productive straight away.
Features and topics:
- Practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of experience teaching this material
- Real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners
- Easily adaptable Java code and completely worked-out examples for easy inclusion in existing (and rapid prototyping of new) applications
- Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)
- Provides a supplementary website with the complete Java source code, test images, and corrections – www.imagingbook.com
- Additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements
This concise, yet comprehensive and reader-friendly text is ideal for undergraduates studying foundation courses, as well as ideal for those seeking to expand their knowledge via self-study.
Wilhelm Burger, Ph.D., is the director of the Digital Media degree programs at the UpperAustria University of Applied Sciences at Hagenberg.
Mark J. Burge, Ph.D., is a senior principal in the Center for National Security and Intelligence at Noblis in Washington, D.C.
Reviews
From the reviews:
"This slim volume is the first of a three-volume set. … the book’s overall coverage is sound--well written, with plenty of illustrative examples and elegant diagrams. … this book is a fine introduction to image processing, and some topics--color, in particular--are very well done indeed. … In summary, this is mostly a fine text. … with the addition of more exercises, this would be an excellent introduction to the field." (Alasdair McAndrew, ACM Computing Reviews, August, 2009)
Authors and Affiliations
Bibliographic Information
Book Title: Principles of Digital Image Processing
Book Subtitle: Fundamental Techniques
Authors: Wilhelm Burger, Mark James Burge
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-1-84800-191-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2009
Softcover ISBN: 978-1-84800-190-9Published: 23 April 2009
eBook ISBN: 978-1-84800-191-6Published: 07 July 2010
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 1
Number of Pages: XIV, 261
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics