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This easy-to-follow textbook is the second of 3 volumes which provide 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 modern implementations of the most important techniques. It extends the introductory material presented in the first volume (Fundamental Techniques) with additional techniques that form part of the standard image processing toolbox. The textbook presents a critical selection of algorithms, illustrated explanations and concise mathematical derivations, for readers to gain a deeper understanding of the topic. It also encourages the reader to actively construct and experiment with the algorithms to develop their understanding for how to use these methods in the real world.This reader-friendly text will equip undergraduates with a deeper understanding of the topic as well as being valuable for further developing knowledge for self-study.
- Sales Rank: #1201844 in eBooks
- Published on: 2013-04-11
- Released on: 2013-04-11
- Format: Kindle eBook
Review
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)
From the Back Cover
This easy-to-follow textbook is the second of three volumes which provide 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. This volume extends the introductory material presented in the first volume (Fundamental Techniques) with additional techniques that form part of the standard image-processing toolbox.
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 thorough, reader-friendly text will equip undergraduates with a deeper understanding of the topic and will be invaluable for further developing knowledge via self-study.
Wilhelm Burger, Ph.D., is the director of the Digital Media degree programs at the Upper Austria 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.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Great Primer for Digital Image Porcessing
By Greek Geek
I am currently studying Computer Vision and this book has been of great help. Covers all the important algorithms and method for image processing and then some. Don't be fooled by the title: Undergraduate Topics in Computer Science. This has more than the basics.
Very well written with lots of graphs/images, many in color. Exceptional printing quality in glossy thick paper.
0 of 0 people found the following review helpful.
Excellent for self study.
By M. Henri De Feraudy
This is volume 2 of the 3 book set. I actually had bought volume 3 first, and then realized that I could well do with this one.
I'm using this collection for self study after being somewhat disgruntled with Gonzalez and Wood's book, which is often very good but sometimes completely glosses over the details. This set of books is pitched at a more elementary level in general than Gonzalez and Woods but in all fairness they do not cover exactly the same topics.For example G&W deal with wavelets (and I didnt find it terribly clear) whereas Burger and Burge just describe it briefly. The Hough transform for line and curve detection gets a good explanation here (better written than in Nixon and Aguado's book) whereas it is not even in the index of G&W.
The algorithm descriptions are very clear, the Java code is very well presented, the pictures are very good, I have not found anything that's not to like about this book yet. I second everything the Greek Geek reviewer wrote about this book.
The only "negative" remark is that the Kindle version is not available for my basic Kindle.
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