Algorithms for Image Processing and Computer Vision

Features

• Cover Type: Paperback with 432 pages
• Published by: Wiley; Pap/Cdr edition November 25, 1996
• Written in: English
• ISBN 10 Number: 0471140562
• ISBN 13 Number: 978-0471140566
• Book Dimensions: 9.2 x 7.4 x 1.1 inches
• Weighs: 1.4 pounds

Book Description
A cook book 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

Book Info
Your cook book of the hottest new algorithms and cutting-edge techniques in image processing and computer vision. Answers the most frequently asked questions with practical solutions. Paper. CD ROM included. DLC: Image processing - Digital techniques.

Reader Reviews
This book is a great source of code for the implementations of common and not so common algorithms used in image processing and computer vision. It is not meant to be a textbook on either subject. For that I suggest you turn to "Digital Image Processing" by Gonzalez and Woods for the subject of image processing and to "Computer Vision" by Linda Shapiro for computer vision. The book starts out with the treatment of a common subject - edge detection - and provides code for various edge detectors including Canny, Shen-Casten, and Marr-Hildreth. Chapter 2 does a pretty good job of explaining digital morphology, the various operations, and their uses. Chapter 3 has a very brief introduction to gray-level segmentation, and then jumps into more advanced topics such as the method of iterative selection, entropy, fuzzy logic methods, and the method of Chow and Kaneko, among others. Most of the methods here are somewhat mathematically involved, and the author does a pretty good job of explaining the mathematics and showing resulting images that show the strengths of each method. Chapter 4 is about the calculation and use of texture in image processing and computer vision. Again, the mathematics here can get involved and equations and illustrations are included to help make the concepts clear. Even fractal geometry and its use in texture is very briefly mentioned. Chapter 5 is one of my favorites, since it covers the topic of skeletonization, which is not commonly covered in most vision or image processing books. The most common method is mentioned first - that of the medial axis transform. This is followed by a discussion of iterative morphological methods and also the use of contours. Finally, the chapter is rounded out with an explanation of the Zhang-Suen/Stentiford/Holt combined method and accompanying code. This method usually produces the best combination of good visual results and computational efficiency. In Chapter 6, on image restoration, the author moves to the frequency domain and discusses the Fourier Transform, the FFT, and their uses in image restoration. The author provides his own image restoration system, the Eagle Restoration System, complete with code. Chapter 7, on wavelets, is a very brief and not too satisfying introduction to the topic. The author does provide some mathematics and some code for some basic transforms, but does not provide much in the way of motivation. Chapters 8 and 9, on optical character recognition and symbol recognition respectively, are two very good chapters on this subject. It provides the simple introductory information on recognizing printed alphabetic characters. It also talks about skew detection in the case of slanted lines of text. Chapter 9 expands the concepts with a very good section on neural networks and character recognition concluding with a system that recognizes printed music. Chapter 10, the final chapter of the book, was an OK introduction to genetic algorithms and evolutionary computing. However, like the chapter on wavelets, I found it a bit thin. The appendix contains a listing of all of the C code included on the CD and each program's purpose. Going through the individual programs was, for me, almost as educational as reading the book, since the code is very well laid out and commented. I highly recommend this book to individuals looking for implementations and discussions of certain image processing and computer vision algorithms. Comment | | (Report this)