Customer Reviews

Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code

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The title says it all. This book was meant to be used. It is organized around a series of transformations that are performed on an image in going from the raw, captured form to usable result. Each step is well identified so you can go directly to the part you need. The methods and routines used are the author's choices, but they give enough information so you can dig deeper if you suspect you may have special needs.

I particularly liked the illustrations. They aren't fancy coffee table illustrations but they are very clear and pointed to what is being discussed. There are many illustrations that show the effect of the procedures on actual images from a variety of fields.

There is a CD-ROM of the executable programs.

The authors use clear easy-to-understand algorithms to explain difficult concepts. Carefully selected examples make it very a comprehensive and insightful book. It is a good cookbook for beginning as well as advanced machine vision people. The text is supported by an abundance of figures and graphics. The full C source companion software on CD ROM enables the reader to quickly apply the theory. Altogether indispensable for the researcher and innovator, who will return to this remarkable book again and again.

I found the book to be very informative and I acquired several ideas from reading it. But, I repeatedly found myself searching the book for definitions of some of the terms it uses throughout its text. Practical Algorithms for Image Analysis will introduce new terms without any hint of their meaning, assuming that the reader already knows all they need to know about the subject matter (which would negate the need to buy the book!). This book sorely needs a glossary.

The authors use clear easy-to-understand algorithms to explain difficult concepts. Carefully selected examples make it very a comprehensive and insightful book. It is a good cookbook for beginning as well as advanced machine vision people. The text is supported by an abundance of figures and graphics. The full C source companion software on CD ROM enables the reader to quickly apply the theory. Altogether indispensable for the researcher and innovator, who will return to this remarkable book again and again.

I already knew image processing when I bought this book, so I am not sure how it would appear to the novice seeking a textbook on the subject of image processing and analysis, but I imagine it could be somewhat confusing. I always recommend Gonzales and Wood's "Digital Image Processing" for those seeking a clear read on image processing and analysis from the ground up. Where Seul's book comes in is with clear descriptions and working code for many basic - and some not so basic - image processing and image analysis algorithms. The book is also very good at explaining the applications of the various transforms. One of the little things that the author of this book does that authors of other books similar to it don't bother to do is to realize that when you are working in image processing you likely have an image as an input and you want an image as an output. Thus the author has built his code libraries so that they work that way. You are not left with arrays of pixels that you have to figure out how to store and manage. In the end you have a nice functional toolbox of working image processing and analysis subroutines that you can chain together and make just about any type of image transform tool you could think of. I'm mainly interested in image effects, and I know this book has been useful to me. The accompanying CD-ROM contains all of the C source code for the algorithms so that you can port them to another language or tinker with them if you so desire. Highly recommended.

Searching for an easy plug & play solution for simple imaging tasks?
No time for programming & debugging things yourself?
No interest in crawling through literature to figure what & how you should program "the methods that solves all your problems"?

Here's a book that deals with most of the elementary - and most used - approaches in image enhancement and analysis. The CD offers a collection of ready-to-play-with programs, both in C source as in executables.

I appreciated the book set-up: each section describes one single task, describes the problem, gives an example, discusses a solution given in literature, and presents the input / output / options for the C code.
- If you want to know more: get the recommended references.
- If you want to modify the program: why not? (well, perhaps because the code is good enough!)
- If you don't care about the scientific background and/or programming: just plug & play!

The title of this book corresponds to its content, the tutorial gives an excellent overview of basic key points to those readers who are unfamiliar with the subject (as I was). The book can not be used for rigorous study of even simple things but rather kicks you with essentials that are easy to understand with high-school background. This book, written for non-specialists in "image field", gives them techniques for their practical needs and concentrates exactly on image analysis, not on image processing. If you have no time to go through more complex (and deeper) books, take this one to discover basic principles in short form with no attempt to explain the fundamentals. The authors just put you into the facts, so that is why I would characterize the "Practical Algorithms" book as being "handbook". The good point is that the areas of applicability of these facts are explained, the drawback: you have to go to other books to get more details on image processing roots, e. g., to R. Gonzalez and R. Woods' "Digital Image Processing". I bought both, and use them as good annex to each other. The "Practical Algorithms" has lack of some significant areas, like snake algorithm and image binarization (thresholding) techniques but e.g., the cellular processing is quite well highlighted.
Surprisingly, the CD that comes along with this book gave me almost 80% examples that I was able to recompile instantly, and only several examples have failed, mainly due to image file format issues. The source code is not both elegant and bugless, but it is very transparent and portable and can easily fit, e.g., a 16-bit microcontroller.
Overall, this is good book for fast start. You can get real output and pick up ideas on practical side of image analysis. Just remember, the most book examples came from the medicine world, so they are quite specific and may not be implemented directly in your particular application.

The book is just great! I used the source code from the CD-ROM for various image processing projects. The algorithms are also very practical if you have to deal with images. The code is neat and ready to compile and run.

Also this book is good on the description of image process and image analysis algorithms. I read the whole book and use it as a reference during my programming. It sits in my bookshelf and I use it almost everyday.

I recommend anybody who wishes to do serious image programming to have this book. It's just great!

As described on the cover page, this book is cookbook style so I went through the programs on the CD before reading the chapters. I like this book for two reasons.

First, the book is easy to read. A bunch of equations may not always be helpful to understand a problem. What confuses readers most is how an implementation/program corresponds to those equation(s). This book explains the image processing techniques in a plain language and gives you an hand-on experience with those techniques.

Second, to practice image processing, clicking a button on windows or just calling a built-in function, e.g. process(image), will not be enough. When you go to the directory of programs on the CD, you may find out every details. Each program is relatively independent to each other. You will not be stuck by a function call, which you never know or find. Each program is well commented and can be easily modified and incorporated into your program.

This book is good for those who are new to image processing, because it helps you understand what image processing does. It is also good for an experience practicer, because you can find well-organized stuff to build your own applications. It is a must-have book for your shelf of image processing.

I have found this book to be extremely useful as a reference for my class on document image analysis. The book discusses (with software which is a bonus!) a whole bunch of image processing techniques that are very useful.

Students can now find in one place- a reference for techniques such as gabor wavelet analysis, convex hulls, moments, fourier descriptors, thinning, hough transform, and chain coding. This allows me as an instructor of an advanced document recognition course to let the students self-study these image processing techniques while I can focus on the recognition topics.

The authors have done a great job of picking examples from a wide range of applications such as outdoor scenes, fingerprints, and documents. The book is "easy to read" and requires just basics of linear algebra to follow.