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Algorithms for Image Processing and Computer Vision Paperback – December 21, 2010

ISBN-13: 978-0470643853 ISBN-10: 0470643854 Edition: 2nd

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Product Details

  • Paperback: 504 pages
  • Publisher: Wiley; 2 edition (December 21, 2010)
  • Language: English
  • ISBN-10: 0470643854
  • ISBN-13: 978-0470643853
  • Product Dimensions: 9.1 x 7.5 x 1.2 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #225,370 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

Now — the hottest algorithms for specialized image processing are right in your hands

With this accessible cookbook of algorithms, you'll gain access to the most wanted image-processing applications, including morphology, image restoration, and symbol recognition. Throughout these pages, you'll find real-life examples that clearly describe the latest techniques, saving you hours of lengthy mathematical calculations. And all code is also included on the website, so you can experiment with your own ideas and algorithms for organizing and searching image data sets.

This updated edition provides practical solutions so you can:

  • Program state-of-the-art image-processing capabilities into software

  • Find the steps for taking advantage of classifiers

  • Apply 2D vision methods in content-based searches

  • Perform edge detection, thinning, thresholding, and morphology

  • Link all the computers on your network into a large image-processing cluster

  • Program the GPU to do image-processing and vision tasks

  • Select the best method for searching through images

Visit the companion website at www.wiley.com/go/jrparker to access all code used in this book.

About the Author

J. R. Parker is a full professor working in the Art department at the University of Calgary. His major research projects include live performance in online virtual spaces, the design and construction of kinetic games, and the portrayal of Canadian history and culture in digital and online form.

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Customer Reviews

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Most Helpful Customer Reviews

2 of 2 people found the following review helpful By Gaussian on May 16, 2013
Format: Paperback
Of all the computer vision books I have encountered, AIPCV does the best job of explaining concepts clearly and engagingly without sacrificing rigor. Readers don't have to suffer deciphering super concise math notations and the author does a great job of showing how to actually implement these algorithms. Take any computer vision concept like Canny Edge Detector and compare it with other CV books to see what I mean. I only wish the book used OpenCV 2.x instead of 1.x but that's just bad timing. Moreover, to my knowledge, there aren't any comprehensive CV books out there that have OpenCV 2.x examples.
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2 of 2 people found the following review helpful By J. Schneider VINE VOICE on November 25, 2012
Format: Paperback Verified Purchase
This book is great; the author does a magnificent job presenting often complex algorithms with just the right amount of discussion to make the ensuing algorithm easy to understand. He does it again and again, but in particular I enjoyed the treatment of symbol recognition followed immediately by a chapter on OCR as an application thereof.

Highly recommended.
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4 of 12 people found the following review helpful By Gift Card Recipient on May 27, 2011
Format: Paperback Verified Purchase
I used this book for my OCR project. It is well written and easy to read. Overall, I recommend the book for anyone who wants to get comprehensive introduction to computer vision algorithms.
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2 of 11 people found the following review helpful By New to Computer Vision but serious on January 7, 2014
Format: Paperback Verified Purchase
I didn't read the whole thing because it would take me forever and ever effort to understand the contents. I read chap3. morphology. The examples are almost impossible to understand. Their coordinates doesn't make sense (or just simply wrong), and C source codes are cryptic. The variables are like i, j, oi, oj, nc, nr, is, js, etc.
If someone already understands the image processing well, they may understand them but not I. I would return the book if I hadn't spill my coffee on it accidently. Oh well. I am giving 2 stars because some introductory part (chap1) was actually helpful.
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