Algorithms for Image Processing and Computer Vision | 
|  | | | Title: | Algorithms for Image Processing and Computer Vision | | Author: | J. R. Parker | | Publisher: | Wiley [Website] | | Type: | Book / Paperback | | Publication Date: | 25 November, 1996 | | ISBN / ISBN-13: | 0471140562 / 9780471140566 | | List Price: | $90.00 | | You Save: | $12.36 | | Amazon Price: | $77.64 | |
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| Editorial Review / Publisher's Information:
Product Description
A cookbook of the hottest new algorithms and cutting-edge techniques in image processing and computer vision
This amazing book/CD package puts the power of all the hottest new image processing techniques and algorithms in your hands. Based on J. R. Parker's exhaustive survey of Internet newsgroups worldwide, Algorithms for Image Processing and Computer Vision answers the most frequently asked questions with practical solutions.
Parker uses dozens of real-life examples taken from fields such as robotics, space exploration, forensic analysis, cartography, and medical diagnostics, to clearly describe the latest techniques for morphing, advanced edge detection, wavelets, texture classification, image restoration, symbol recognition, and genetic algorithms, to name just a few. And, best of all, he implements each method covered in C and provides all the source code on the CD.
For the first time, you're rescued from the hours of mind-numbing mathematical calculations it would ordinarily take to program these state-of-the-art image processing capabilities into software. At last, nonmathematicians get all the shortcuts they need for sophisticated image recognition and processing applications.
On the CD-ROM you'll find:
* Complete code for examples in the book
* A gallery of images illustrating the results of advanced techniques
* A free GNU compiler that lets you run source code on any platform
* A system for restoring damaged or blurred images
* A genetic algorithms package
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Customer Reviews:
• I Like This Book 20 April, 2004
It has source C code available, which I found is very helpful. It would be better if its code is written in C++.
- Reviewed by customer ID: A2E3F04ZK7FG66
• Good Book For C++ Programmers 05 April, 2008
It's a good book for people who is working in Computer Vision with C++ language. There are explanations of some algorithms and their respective implementation in C++, so it's very helpful. Furthermore, after each topic there is a bibliography list about this topic, which is better than have all bibiography in the last part of the book.
The only drawback is that the quality of the book is not good. The pages are very easy to tear.
- Reviewed by customer ID: A12D3MCSZABB3Y
• An Unusually Clear Book -- And Great For Ocr Researchers. 06 May, 2006
This nifty book is unusual in several respects: it is written in an extremely clear and simple style; it presents good clear code, both in print and on the accompanying CD; and it presents a variety of different methods for achieving each given goal. For example, the book presents a half-dozen different algorithms (usually with code) for edge-detection, for thresholding, and for skeletonization. For the most part, the book does a good job of explaining the relative merits or suitabilities of the different algorithms.
It's important to say, though, that this book is not a comprehensive introduction to image processing issues and algorithms (such as Gonzales&Woods), nor is it a soup-to-nuts cookbook of code (such as Myler&Weeks' admittedly dated "Pocket Handbook"). Although the book is written in a style that students could understand, I wouldn't recommend it as a first book for novice students. It would be better suited to a non-specialist who nevertheless needs to accomplish something specific -- like thresholding or edge-detection -- in short order, and with an algorithm that's tuned to their particular application.
One last thing: this book will be VERY MUCH appreciated by anyone seeking a foundation in optical character recognition.
- Reviewed by customer ID: A1H5A468B0I1FO
• Good Book; Somewhat Sloppy Code 09 April, 2008
Clear and simple book, goes right to the guts. One minus is sloppy code. It's written by a scientist who is not a programmer. Implementations are slow and sometimes inaccurate. For example, function nays8 counts 0's in one thinning algorithm. Function snays count 0's in another thinnnig algorithm, while nays8 now count 1's!
Most of these comes from straightforward implementation of ideas. Sure enough, exactly this makes his code a good starting point in writing more effective programs.
- Reviewed by customer ID: A2WEBMZ9VJ6568
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