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Digital Image Processing: An Algorithmic Introduction using Java [Hardcover]

Wilhelm Burger (Author), Mark J. Burge (Author)
4.8 out of 5 stars  See all reviews (11 customer reviews)

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Book Description

November 28, 2007 1846283795 978-1846283796 1st Edition.
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.

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Editorial Reviews

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 President of SIGGRAPH

An excellent resource, I highly recommend.
Wayne Rasband, author of ImageJ

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.

Product Details

  • Hardcover: 586 pages
  • Publisher: Springer; 1st Edition. edition (November 28, 2007)
  • Language: English
  • ISBN-10: 1846283795
  • ISBN-13: 978-1846283796
  • Product Dimensions: 10.3 x 7.8 x 1.1 inches
  • Shipping Weight: 3.3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #480,137 in Books (See Top 100 in Books)

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Customer Reviews

11 Reviews
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4 star:
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3 star:    (0)
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Average Customer Review
4.8 out of 5 stars (11 customer reviews)
 
 
 
 
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11 of 11 people found the following review helpful:
4.0 out of 5 stars Discusses the basics of image processing using Java, December 11, 2007
This review is from: Digital Image Processing: An Algorithmic Introduction using Java (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.
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4 of 4 people found the following review helpful:
5.0 out of 5 stars highly recommend, January 28, 2008
This review is from: Digital Image Processing: An Algorithmic Introduction using Java (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!
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4 of 4 people found the following review helpful:
5.0 out of 5 stars Great book - applicable to real-world problems!, January 9, 2008
By 
NerdGirl (California, USA) - See all my reviews
This review is from: Digital Image Processing: An Algorithmic Introduction using Java (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...
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
public int setup, modified gamma correction, linear histogram equalization, function fhs, current subimage, corner response function, chamfer algorithm, boolean inv, pixel median filter, differential chain code, indexed image, histogram specification, grayscale dilation, accumulator array, profile connection space, histogram entries, corresponding subimage, reference histogram, binary regions, comb function, region labeling, interpolation kernel, component histograms, new pixel value, filter region
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Exercises Exercise, Adobe Photoshop, Bicubic Interpolator, Range Use, Opening Closing
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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