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Digital Image Processing Using MATLAB(R)
 
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Digital Image Processing Using MATLAB(R) (Hardcover)

by Rafael C. Gonzalez (Author), Richard E. Woods (Author), Steven L. Eddins (Author)
5.0 out of 5 stars See all reviews (7 customer reviews)


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Editorial Reviews

Product Description
This is the first book that provides a balanced treatment of image processing basics and software principles used in the practical application of image processing. Working in the MATLAB computing environment, it provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morpohological image processing, image segmentation, regions and boundary representation and description, and object recognition. For software developers working with image processing.

From the Back Cover
This is the first book that provides a balanced treatment of image processing basics and software principles used in the practical application of image processing. Working in the MATLAB computing environment, it provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morpohological image processing, image segmentation, regions and boundary representation and description, and object recognition. For software developers working with image processing.

See all Editorial Reviews

Product Details

  • Hardcover: 624 pages
  • Publisher: Prentice Hall (December 26, 2003)
  • Language: English
  • ISBN-10: 0130085197
  • ISBN-13: 978-0130085191
  • Product Dimensions: 9.4 x 7 x 0.9 inches
  • Shipping Weight: 2.3 pounds
  • Average Customer Review: 5.0 out of 5 stars See all reviews (7 customer reviews)
  • Amazon.com Sales Rank: #246,234 in Books (See Bestsellers in Books)

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    #72 in  Books > Professional & Technical > Engineering > Electrical & Electronics > Optics


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Customer Reviews

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39 of 39 people found the following review helpful:
5.0 out of 5 stars The best of its kind., January 1, 2005
If you want to get up to speed on Matlab and plan to use it for image processing, this book is a must.

I have lots of experience in computer graphics and in programming languages like C++ and C#, but prior to reading this book I had never really used Matlab nor implemented complicated image processing algorithms. This book is a great introduction to both.

The book is divided in twelve chapters touching both low-level image processing (e.g. spatial filtering) and higher-level concepts required for computer vision, like image registration and segmentation. Gonzalez et al are talented writers, explaining relatively complicated concepts clearly and concisely, without getting lost in the mathematical details. People interested in the more theoretical aspects should (and probably already have) check their other book.

The only potential downside of this book is that it's definitely designed to be read sequentially, one chapter at a time. The matlab concepts are introduced piece by piece. For example, if you skip Chapter 5 (on image restoration, i.e. getting rid of noise) you may not realize that you missed the introduction to the image registration functions. Personally I liked this style (it added variety to a potentially dry subject), but a reader with less time to cover all of the matter may find this to be a problem.
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20 of 21 people found the following review helpful:
5.0 out of 5 stars Digital image processing using MATLAB, September 2, 2004
I gave a DIP class last semester using this book. I found it provided the easiest way to make students acquainted with DIP. Before using this book, I tried Visual C++ for implementation. However, both of us (i.e., students and me) couldn't be satisfied, I guess. Now the implementation is easier than ever, and I can explain more about DIP itself to students.
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11 of 11 people found the following review helpful:
5.0 out of 5 stars Superb instructional book for my needs, April 10, 2006
By John Harpur (Trim, Meath, IRELAND) - See all my reviews
(REAL NAME)   
I bought this book for two reasons (a) I needed an overview of IP and (b) I wanted to examine different pattern analysis algorithms with a practical twist. On both counts, as an non-IP researcher, I was very satisfied. The book is very well laid out, so well in fact that it would put to shame many of its rivals. It served my needs. I can't comment on whether it will meet the needs of a broader community. I would certainly recommend it based on my experience.
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Most Recent Customer Reviews

5.0 out of 5 stars Excellent textbook and quick reference for image processing in Matlab
This is a superb book-- I found it useful for both instruction as a reference on the syntax and form of doing things in Matlab with images and also as an in-depth text on the... Read more
Published 11 months ago by J.S. Lo-Hashem'Sheli

5.0 out of 5 stars Applications to environmental Sciences
This book has been really helpful to write my own tools for image analysis, such as leaf area index estimations from digital images and microscopy imaging analysis. Read more
Published 16 months ago by Dr. Sigfredo Fuentes

5.0 out of 5 stars Great Text
Great text for learning image processing and using it with MATLAB. Hopefully the instructor also uses its mathematical insight as well.
Published on May 12, 2007 by Ed

5.0 out of 5 stars Practical and Useful
This book educates the reader in image processing and MATLAB. While I am experienced in both, I found the book to be an extrememly useful reference book for projects involving... Read more
Published on January 10, 2006 by B. Givens

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