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Digital Image Processing: An Algorithmic Introduction Using Java (Texts in Computer Science) [Hardcover]

Wilhelm Burger , Mark J. Burge
5.0 out of 5 stars  See all reviews (2 customer reviews)
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Book Description

19 Jan 2012 1846283795 978-1846283796 1st ed. 2008

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.



Product details

  • Hardcover: 566 pages
  • Publisher: Springer; 1st ed. 2008 edition (19 Jan 2012)
  • Language: English
  • ISBN-10: 1846283795
  • ISBN-13: 978-1846283796
  • Product Dimensions: 26.2 x 19.3 x 2.8 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 528,878 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description

Review

From the reviews:

a welcome resource.
The algorithm discussions do not depend on any toolkit, allowing ready translations to other environments, as I have found with OpenGL shaders.

Useful either as a reference or as a textbook ... a very accessible textbook in image processing, quite suitable for undergraduate courses Starts with very fundamental concepts of digital images and goes through quite sophisticated algorithms with sound mathematical basis ... providing a deeper understanding of the algorithms.

This will be one my continuing reference books for some time to come.
Steve Cunningham, PhD
Past SIGGRAPH President and Chair

An excellent resource, I highly recommend.
Wayne Rasband, Author of ImageJ, U.S. National Institutes of Health (NIH)

"This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples and complete Java implementations. Available for the first time in English, Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field. … Self-contained chapters and additional online material suitable for a flexible one- or two semester course." (www.amazon.com, December 2007)

"This book teaches the basic algorithms used in image processing and implements many of these algorithms in ImageJ. … The book succeeds at showing the mathematics of each transform, of showing pseudocode for each algorithm, and implementing various algorithms in complete code. Each chapter has exercises for the student, and I found the textbook to be well illustrated and well written." (www.amazon.com, December 2007)

"This book is an introduction to image processing and analysis in the deeper sense, covering the structure of digital images … and the basic algorithms involved in image processing. It is intended for advanced undergraduates and graduate students, as well as computer professionals. … The text is accompanied by a number of images … as well as clear and well-designed diagrams where appropriate. Good exercises for each chapter are given." (Jeffrey Putnam, Computing Reviews, March, 2009)

From the Back Cover

"This will be one of my continuing reference books for some time to come."
Steve Cunningham, PhD, Past President of SIGGRAPH

"An excellent resource for the users of ImageJ."
Wayne Rasband, author of ImageJ

This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples and complete Java implementations.  Available for the first time in English, Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field.

• 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

• Self-contained chapters and additional online material suitable for a flexible one- or two- semester course

• Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)

• A comprehensive Website (www.imagingbook.com) with complete Java source code, test images, and additional instructor materials

This comprehensive, reader-friendly introduction is ideal for foundation courses as well as eminently suitable for self-study.

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

Mark J. Burge is a program director at the National Science Foundation (NSF) and a principal at Noblis (Mitretek) in Washington, D.C.


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Most Helpful Customer Reviews
5.0 out of 5 stars just what I was looking for 1 Jun 2013
Format:Hardcover|Verified Purchase
Both deep enough theory and lots of practical exercises. I am also learning in deep what is the meaning with all these functions I met on image processing program I used for years, like GIMP.
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0 of 2 people found the following review helpful
5.0 out of 5 stars Great introduction to image processing 25 Aug 2010
Format:Kindle Edition
I highly recommend this book for any person who can read code more than Mathematically formulas.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.8 out of 5 stars  14 reviews
13 of 13 people found the following review helpful
4.0 out of 5 stars Discusses the basics of image processing using Java 12 Dec 2007
By calvinnme - Published on Amazon.com
Format:Hardcover
This book teaches the basic algorithms used in image processing and implements many of these algorithms in ImageJ. ImageJ is open source and denotes both a stand-alone Java application and a library of image transformations written in Java. The book succeeds at showing the mathematics of each transform, of showing pseudocode for each algorithm, and implementing various algorithms in complete code. Each chapter has exercises for the student, and I found the textbook to be well illustrated and well written. The book assumes you have mathematical maturity through calculus and that you already know how to program in Java. The book does take the time to explain ImageJ to you, although if you know Java working with another API/library should be easy to handle. The following is the table of contents:

Crunching Pixels.
Digital Images.
ImageJ.
Histograms.
Point Operations.
Filters.
Edges and Contours.
Corner Detection.
Detecting Simple Curves.
Morphological Filters.
Regions in Binary Images.
Color Images.
Introduction to Spectral Techniques.
The Discrete Fourier Transform in 2D.
The Discrete Cosine Transform (DCT).
Geometrical Operations.
Comparing Images.
Appendices
A Mathematical Notation.
B Java Notes.
C ImageJ Short Reference.
D Source Code.

If you want to preview the code to get an idea of the level of sophistication of the solutions offered, just go to the book's website and you can download the source code offered there. This book is good, but I still think if you want the definitive guide to the subject you want to get "Digital Image Processing 3rd Edition" by Gonzalez and Woods. That book is quite accessible and gets into all of the theory of digital image processing. That book paired with this one should cover both theory and implementation quite well.
5 of 5 people found the following review helpful
5.0 out of 5 stars highly recommend 28 Jan 2008
By Dorman G. Lambright - Published on Amazon.com
Format:Hardcover
This book is very well organized, and the content is exactly what I have been looking for. It met my needs as far as helping me with my own image processing, as well as for training microscopists in a core facility in image processing. Really really fantastic - thorough content, clear and easy to follow, from basic processing concepts on to specific applications in Java (in particular ImageJ). GREAT!!! I really appreciate the authors translating this - and it is very well translated!
4 of 4 people found the following review helpful
5.0 out of 5 stars Great book - applicable to real-world problems! 9 Jan 2008
By NerdGirl - Published on Amazon.com
Format:Hardcover
I have been waiting for this book a long time! A German colleague had the German edition and was always pulling out solutions from it. Now, I no longer need to rely on him. This book provides many great explanations and methods that really work, including code (which is also downloadable from the website that accompanies this book). As a medical doctor, scientist, and engineer, I appreciate the practicality of such a technical book that does not get lost in the mathematics. I deal with a variety of medical images all the time and have been looking for a book like this for myself and other colleagues in the field who want to get started in solving their own image processing problems. It has great examples of all the basic methods as well as some pretty advanced ones I am starting to get into. For instance, the color chapter has 70 pages and lots of details. It's also a very good value for a full color 500+ page, 3+ pound book and gives you alot of bang for your buck! I have purchased alot of image processing books in the past, but I am definitely keeping this one...
3 of 3 people found the following review helpful
5.0 out of 5 stars Even if you don't use Java 14 Feb 2010
By Stephen T. Austin - Published on Amazon.com
Format:Hardcover|Verified Purchase
To appreciate this wonderful book, it isn't at all necessary that you intend to code in Java or use ImageJ as an image-processing tool. If you want to understand the machine vision algorithms that would be used in ANY language, this text is for you.

The concepts are well illustrated (important for this topic, of course), especially where it comes to how and why a certain image operation works.

I've read many other texts on this subject, and most were either too basic (without explaining why or how things are done), or far too deep in mathematical concepts. This was exactly right. If you understand at least the basics of matrices and calculus (1st year is plenty), you're fully equipped to understand 90% of this book. If you're like me, you may need to do a little side reading, but not much.

Like any text book, there are some errata, so be sure and download those from their web site, where they also supply all the sample code, and links to ImageJ if you want to use that too.

If you want one book on Image Processing, this is it.
2 of 2 people found the following review helpful
5.0 out of 5 stars Priceless resource for toe stubbing Java-newbie-but-programming-oldie 27 Aug 2009
By Ben Bighair - Published on Amazon.com
Format:Hardcover
I come to Java and ImageJ with a long-entrenched array-based programming background with pseudo-OO design. The leap to Java and ImageJ has been challenging and a rather steep climb for me. This book has really helped me over the hump not only in terms of Java constructs and ImageJ's architecture, but also in terms of providing a clear road map for good OO design. It may not have been the intention of the authors to provide lessons in OO design, but that is the chief value of this very readable book for me. In particular, I have found Chapter 11 (binary object analysis) extremely useful in my own work. In fact, I have re-engineered much of my own code based upon what I learned in this one chapter. I am looking forward to the portions on frequency analysis. My only wish is that the English translation had been ready when I started with Java and ImageJ three years ago - I might have greatly shortened my programming path. I encourage all ImageJ users to give Digital Image Processing a serious look, and to add it to the toolkit.
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