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This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.
- Sales Rank: #573496 in Books
- Published on: 2011-08-31
- Released on: 2011-08-31
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .63" w x 7.01" l, 1.20 pounds
- Binding: Paperback
- 261 pages
Review
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)
From the Back Cover
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 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
0 of 0 people found the following review helpful.
Well written, nicely organized, and properly priced for the basics of digital image processing
By Amazon Customer
I bought this book as a self-study and as a textbook to bring graduate students "up to speed" about the aspects digital image analysis. It is well written and nicely organized. I also greatly appreciate the exercises at the back of each chapter.
I would like to have seen a bit more content about the concepts and principles of to the hardware of image capture in the first chapter. I would maintain that, to appreciate fully the operations that are done with software to change an image histogram, one should first understand how the hardware "camera" system captures an image in the first place. Discussions about such things as the effects on image histograms by changing the equivalent parameters to f-stop or shutter speed merit some consideration. So do discussions about the differences between the pixels in a detector versus the pixels on a monitor that is used to view the captured image.
I also admit, the codes that are provided in the book for ImageJ are of little interest to me directly or as a primary part of my teaching exercises. I take more of a "plug-and-play" approach to image processing with software right now. OTOH, I admit that having the codes is nice as reference should I ever change my mind.
This book was highly recommended on a professional network forum as the response to a question about the best book to learn image processing. I concur with the recommendation.
0 of 1 people found the following review helpful.
Five Stars
By CUONG NGUYEN
It's good
See all 2 customer reviews...
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