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Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science) ebook

by Wilhelm Burger


is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg.

is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg. is a senior principal in the Center for National Security and Intelligence at Noblis in Washington, . Series: Undergraduate Topics in Computer Science.

Undergraduate Topics in Computer Science. Principles of Digital Image Processing. Authors: Burger, Wilhelm, Burge, Mark J. Combines theory and implementation in a coherent and highly transparent manner. Explains the applicability and performance of methods on illustrative examples and real images.

Undergraduate Topics in Computer Science (UTiCS) delivers high-quality instructional content. for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course.

Principles of Digital Image Processing (Vol. 1-3) Springer Undergraduate Topics in Computer Science, New York . 1-3) Springer Undergraduate Topics in Computer Science, New York (2009-2013). The algorithms in our books are implemented in Java and ImageJ which is a small, simple and flexible environment for digital image processing, originally conceived (and still being developed) by Wayne Rasband at the . National Institutes of Health (NIH). Our source code is distributed in two parts

Wilhelm Burger · Mark J. Burge. Principles of Digital Image Processing – Advanced Methods (Vol. 3). Undergraduate Topics in Computer Science.

Wilhelm Burger · Mark J. Supplementary Material. With 16 gures and 4 algorithms. Springer-Verlag, London (2013). BibTeX citation entry: {BurgerBurgeUtics3, title {Principles of Digital Image Processing -Advanced Methods (Vol. 3)}, author {Burger, Wilhelm and Burge, Mark ., series {Undergraduate Topics in Computer Science}, publisher {Springer-Verlag}, address {London}, year {2013}, note {supplementary Ch.

methods in image processing. Wilhelm Burger, Mark J. Burge Principles of Digital Image Processing: Advanced Methods Undergraduate Topics in Computer Science.

This volume builds upon the introductory material presented in the first two volumes (Fundamental Techniques and Core Algorithms) with additional key concepts and methods in image processing. Springer Science & Business Media, 18 нояб. Principles of Digital Image Processing: Advanced Methods Undergraduate Topics in Computer Science.

Principles of Digital Image Processing: Core Algorithms (Undergraduate Topics in Computer Science). Wilhelm Burger, Mark James Burge. Download (pdf, . 8 Mb) Donate Read. 1-3) Springer Undergraduate Topics in. Books and Materials by Wilhelm Burger & Mark Burge. Digital Image Processing – An Algorithmic Introduction using Java Springer, Tsinghua University Press (2010). ISBN 978-7-302-21365-9. 1-3) Springer Undergraduate Topics in Computer Science, New Yor. Digital Image Processing – An Algorithmic Introduction using Java Springer-Verlag, New York (2008). ISBN 978-1-84628-968-2. ISBN 978-7-302-21365-9

This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing.

This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing.

additional techniques that form part of the standard image processing toolbox.

It extends the introductory material presented in the first volume (Fundamental Techniques) with additional techniques that form part of the standard image processing toolbox.

This book offers key concepts and methods in image processing, examples and exercises, Java code and worked-out examples for easy inclusion in existing applications, and a supplementary website with complete Java source code, test images, and corrections.
August
I love this book, as well as the precursor, Digital Image Processing: An
Algorithmic Introduction using Java.

The authors are masters of exposition. They provide motivation,
clarity, and supporting details, as well as helpful pointers to complete
solutions -- and they respect the reader's intelligence. And the support
for ImageJ and Fiji are fabulous.

The authors explain things well, have beautiful illustrations,
supply the detailed needed to confirm it for yourself,
and address the subtle technical discrepancies with the more
general claims.

For example, in the description of anisotropic diffusion filters
(section 5.3 starting on page 143), they assure the careful reader on
p. 149 regarding something the reader might have figured out for
themselves: that as formally described, the filter is not anisotropic,
but the descritized approximation of it is anisotropic.

Had I started with a book like this, I might have fallen in love with
digital image processing instead of algorithms and data structures.
Jugami
in the process of writing a thesis on oceanography i needed to become an image processing wizard ASAP. this set gave me a very good primer that i have been using to expand and standardize my own methods and code.
Modifyn
This book arrived today and in a matter of a few hours I was able to understand a lot about adaptative thresholding and Fourier descriptors.
The book is very carefully written, annotates the mathematical dérivations very clearly and provides nice clear pseudocode and then some java code (using JImage). This is in contrast with books that use Matlab, which is expensive and less accessible (but maybe the free "Octave" Matlab-inspired language would do the job). For those who are C++ afficionados there are libraries that try to look like ImageJ.
But the point of the book is not to use commercial libraries, but rather to understand some algorithms (and tradeoffs) in detail.
Another good aspect of the book is that it takes color images seriously, when many books just assume that if you can deal with grey-level images you can deal with color. It's not so simple as that.
The last chapter explains SIFT (used to indentify common features of objects, for say an image-stitching program) in great detail.
So here you have a book that goes further than just a user's guide to imaging libraries, but promotes understanding from where you can design functions tailored to your needs.
Highly recommended.
Kizshura
Another great book on image processing by one of the best authors in the field.
Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science) ebook
Author:
Wilhelm Burger
Category:
Computer Science
Subcat:
EPUB size:
1516 kb
FB2 size:
1262 kb
DJVU size:
1796 kb
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Publisher:
Springer; 2013 edition (May 7, 2013)
Pages:
384 pages
Rating:
4.2
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