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Digital Image Processing (3rd Edition)

Digital Image Processing (3rd Edition)Authors: Rafael C. Gonzalez, Richard E. Woods
Publisher: Prentice Hall

List Price: $164.00
Buy New: $99.99
as of 9/5/2010 11:45 MST details
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New (21) Used (21) from $96.75

Seller: hbsong
Rating: 4.0 out of 5 stars 24 reviews

Media: Hardcover
Edition: 3
Pages: 976
Number Of Items: 1
Shipping Weight (lbs): 3.5
Dimensions (in): 9.5 x 7.3 x 1.5

ISBN: 013168728X
Dewey Decimal Number: 621.367
EAN: 9780131687288
ASIN: 013168728X

Publication Date: August 31, 2007
Availability: Usually ships in 1-2 business days

Also Available In:

  • Paperback - Digital Image Processing (Second Edition 2002 International Edition)
  • Hardcover - Digital Image Processing
  • Hardcover - Digital Image Processing.
  • Hardcover - Digital Image Processing (2nd Edition)
  • Hardcover - Digital Image Processing
  • Paperback - Digital Image Processing (Applied Mathematics and Computation; No. 13)
  • Hardcover - Digital Image Processing
  • Hardcover - Digital Image Processing (Applied mathematics and computation ; no. 13)
  • Paperback - Digital Image Processing

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Editorial Reviews:

Product Description
THE leader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition. For technicians interested in the fundamentals and contemporary applications of digital imaging processing


Customer Reviews:
Showing reviews 1-5 of 24



1 out of 5 stars I'll buck the trend on this one-Don't buy it   February 16, 2009
Rod M. Holland (Colorado)
6 out of 11 found this review helpful

I took image processing in 2002 and this book was dated then. I opened it only to do homework. Otherwise I got my info elsewhere or from my notes. I used Anil K Jain's "Fundamentals of Digital Image Processing" as an alternate text and it rocked. There was far too much text and far too little pictures, equations and examples to make this a good image processing text. I didn't find their presentations algorithmic in the least. I would have hated to try to use this as a guide to programming my image processing algorithms from.


5 out of 5 stars Even better than the first edition   October 5, 2008
¯ (Portland, OR)
1 out of 1 found this review helpful

This book is a wonderful read about image processing. Having read most of the 1st edition (yes I'm reading all of the 3rd), I can say that this 3rd edition is larger (yet not insurmountable) with more examples, explanations, mathematical development and new material. I'm currently in the chapter about frequency domain processing and must say that the previous chapter about spatial domain processing is more robust, even now including a good introduction to fuzzy logic. Anyhow, with a good background in applied math and Matlab programming, this material is easy reading for me, but should also be accessible enough for anyone with a general technical background.


5 out of 5 stars Great Introduction to Image Processing   September 16, 2007
Sujith (Bangalore, India)
4 out of 4 found this review helpful

(This review refers to the second edition of the book)

This book is a simple and very well written introduction to Image Processing. This book starts off with the very basics of the subject. In fact the introduction is a bit too long and may be boring for some. The book contains many examples from different real world applications. In most chapters this book covers only the very basic techniques, so readers who want to study more advanced concepts will have to look elsewhere. For example, this book does not cover Canny edge detection which is probably the benchmark edge detection algorithm. The chapter on wavelets was refreshing; it concentrated more on how wavelets can be used for image processing and less on the math. The chapters on enhancement, restoration and color are elementary. The chapter on compression was quite good. The book ends with a few chapters on segmentation and pattern recognition. Overall, its a very good introductory textbook well suited for senior undergraduate/first year graduate students.



5 out of 5 stars Simply Excellent! Fully Justifies Its Price!   May 9, 2006
Musaad Haider (UET, Lahore)
9 out of 10 found this review helpful

The preface of this book starts with a quote:
"When something can be read without effort, great effort has gone into its writing".
And once you start reading the book, you realize how much the book lives upto this. Everything is written clearly and importany points are stressed again and again in each topic until you become fully familiar with them. Topics are written with implementation in mind, as you can get started with writing your own code instantly.
The book makes the subject as interseting as it gets, and although some existing basic concepts of mathematics and statistics are quite helpful while reading, but you dont even have to be familiar with Digital Signal Processing to fully understand the contents.
Finally, I'd like to say that out of the few poeple that fully understand a concept, fewer have the gift to deliver their knowledge to others, and the authors of this book have that gift.



5 out of 5 stars Excellent book for Image Processing   March 25, 2006
Shanmuganathan R (IIT Bombay, Mumbai, India)
4 out of 6 found this review helpful

This book feeds the readers all the basic concepts of Image Processing. Very easily understandable and lucid in explanations. I would rate it one among the best EE books published so far.

Showing reviews 1-5 of 24


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