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Algorithms for Image Processing and Computer Vision Paperback – Dec 21 2010


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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Amazon.com: 4 reviews
2 of 2 people found the following review helpful
Clear and simple explanations May 16 2013
By Gaussian - Published on Amazon.com
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.
2 of 2 people found the following review helpful
Great Stuff Ready to Apply Nov. 25 2012
By J. Schneider - Published on Amazon.com
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.
4 of 12 people found the following review helpful
Good Comprehensive Book May 27 2011
By Gift Card Recipient - Published on Amazon.com
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.
0 of 7 people found the following review helpful
Not worth money and time Jan. 7 2014
By New to Computer Vision but serious - Published on Amazon.com
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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