Algorithms for Image Processing and Computer Vision (Paperback)

~ (Author) "Edge detection is one of the most commonly used operations in image analysis, and there are probably more algorithms in the literature for enhancing and..." (more)
Key Phrases: simple structuring element, float sigma, skeletal pixels, Pattern Recognition Letters, New York, Academic Press (more...)

Editorial Reviews

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

From the Publisher

Programmers and software engineers are always in need of newer techniques and algorithms to manipulate and interpret images, whether they are working with MRI data, computer animation or satellite images. During the last several years, advances in the computer hardware and software have lead to algorithms and programming languages that allow for relatively sophisticated image processing among non-mathematicians. This book is an accessible cookbook of algorithms for some of today's most wanted image processing applications including morphing, Optical Character Recognition (OCR), and Symbol Recognition, that will save graphics programmers from many hours of lengthy mathematical solutions. Includes CD-ROM with... * Complete code for examples in the book * A gallery of images illustrating the results of advanced techniques * Free GNU C compiler-- allows readers to run source code regardless of platform.

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Product Details

• Paperback: 432 pages
• Publisher: Wiley (November 25, 1996)
• Language: English
• ISBN-10: 0471140562
• ISBN-13: 978-0471140566
• Product Dimensions: 9.2 x 7.4 x 0.8 inches
• Shipping Weight: 1.5 pounds (View shipping rates and policies)
• Average Customer Review: 4.7 out of 5 stars  See all reviews (10 customer reviews)
• Amazon.com Sales Rank: #257,767 in Books (See Bestsellers in Books)

  Popular in these categories: (What's this?)

  #26 in	Books > Computers & Internet > Computer Science > Artificial Intelligence > Machine Vision
  #51 in	Books > Professional & Technical > Engineering > Computer Technology > Imaging Systems
  #57 in	Books > Science > Mathematics > Pure Mathematics > Discrete Mathematics

Customer Reviews

Most Helpful Customer Reviews

23 of 24 people found the following review helpful:

5.0 out of 5 stars Excellent cook book of advanced IP techniques, March 22, 1999

By A Customer

Amazon Verified Purchase

At its best, this book is a wonderful cookbook of image processing techniques. For example the author's presentation of the Canny and Shen-Castan methods of edge detection is clear and detailed. Full C source is provided for this and all the other techniques discussed in the book. The book does not pretend to be a basic introduction to image processing -- if you do not have Castleman or Pratt or something similar on your bookshelf, you probably should not start by acquiring this book. A possible source of irritation for some readers will be the variation in depth of coverage of topics. For example, when the author discusses wavelets, the coverage is very scant and qualitative. It is well done, but quite different in kind from the aforementioned coverage of advanced edge detection techniques. Similarly, the author will cover specific aspects of image processing, such as motion blur for an image, in the context of a rather general discussion of image restoration. In short, the book seems to reflect the author's interests more than attempting to be an objective coverage of the current state of the art in image processing. Nonetheless, the high quality of the information that the author provides and the bibliography to further coverage of the given topics are well worth the price of the book. You just need to approach it on the author's terms rather than on a preconceived notion of what you should get out of the book.

15 of 15 people found the following review helpful:

5.0 out of 5 stars A great "Imaging Recipes" book, March 10, 1999

By A Customer

A very good "imaging recipes" book. includes solutions to various IP/Vision problems ranging from low-level edge detection to high-level character recognition. Most of the algorithms are not presented in older books, which makes it a valueble source which replaces the tedious search through individual articles. Written in an "application oriented" approach, with lots of code snippets.

14 of 14 people found the following review helpful:

5.0 out of 5 stars Outstanding source of implementations of image processing algorithms, March 10, 2006

By	calvinnme "Texan refugee" (Fredericksburg, Va) - See all my reviews (TOP 10 REVIEWER)

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.