Customer Reviews

Digital Image Processing: An Algorithmic Introduction using Java

5 star:		(9)
4 star:		(2)
3 star:		(0)
2 star:		(0)
1 star:		(0)

 

 

This book teaches the basic algorithms used in image processing and implements many of these algorithms in ImageJ. ImageJ is open source and denotes both a stand-alone Java application and a library of image transformations written in Java. The book succeeds at showing the mathematics of each transform, of showing pseudocode for each algorithm, and implementing various algorithms in complete code. Each chapter has exercises for the student, and I found the textbook to be well illustrated and well written. The book assumes you have mathematical maturity through calculus and that you already know how to program in Java. The book does take the time to explain ImageJ to you, although if you know Java working with another API/library should be easy to handle. The following is the table of contents:

Crunching Pixels.
Digital Images.
ImageJ.
Histograms.
Point Operations.
Filters.
Edges and Contours.
Corner Detection.
Detecting Simple Curves.
Morphological Filters.
Regions in Binary Images.
Color Images.
Introduction to Spectral Techniques.
The Discrete Fourier Transform in 2D.
The Discrete Cosine Transform (DCT).
Geometrical Operations.
Comparing Images.
Appendices
A Mathematical Notation.
B Java Notes.
C ImageJ Short Reference.
D Source Code.

If you want to preview the code to get an idea of the level of sophistication of the solutions offered, just go to the book's website and you can download the source code offered there. This book is good, but I still think if you want the definitive guide to the subject you want to get "Digital Image Processing 3rd Edition" by Gonzalez and Woods. That book is quite accessible and gets into all of the theory of digital image processing. That book paired with this one should cover both theory and implementation quite well.

This book is very well organized, and the content is exactly what I have been looking for. It met my needs as far as helping me with my own image processing, as well as for training microscopists in a core facility in image processing. Really really fantastic - thorough content, clear and easy to follow, from basic processing concepts on to specific applications in Java (in particular ImageJ). GREAT!!! I really appreciate the authors translating this - and it is very well translated!

I have been waiting for this book a long time! A German colleague had the German edition and was always pulling out solutions from it. Now, I no longer need to rely on him. This book provides many great explanations and methods that really work, including code (which is also downloadable from the website that accompanies this book). As a medical doctor, scientist, and engineer, I appreciate the practicality of such a technical book that does not get lost in the mathematics. I deal with a variety of medical images all the time and have been looking for a book like this for myself and other colleagues in the field who want to get started in solving their own image processing problems. It has great examples of all the basic methods as well as some pretty advanced ones I am starting to get into. For instance, the color chapter has 70 pages and lots of details. It's also a very good value for a full color 500+ page, 3+ pound book and gives you alot of bang for your buck! I have purchased alot of image processing books in the past, but I am definitely keeping this one...

To appreciate this wonderful book, it isn't at all necessary that you intend to code in Java or use ImageJ as an image-processing tool. If you want to understand the machine vision algorithms that would be used in ANY language, this text is for you.

The concepts are well illustrated (important for this topic, of course), especially where it comes to how and why a certain image operation works.

I've read many other texts on this subject, and most were either too basic (without explaining why or how things are done), or far too deep in mathematical concepts. This was exactly right. If you understand at least the basics of matrices and calculus (1st year is plenty), you're fully equipped to understand 90% of this book. If you're like me, you may need to do a little side reading, but not much.

Like any text book, there are some errata, so be sure and download those from their web site, where they also supply all the sample code, and links to ImageJ if you want to use that too.

If you want one book on Image Processing, this is it.

This book is just what I expected. It is a great reference to image processing especially with ImageJ

I come to Java and ImageJ with a long-entrenched array-based programming background with pseudo-OO design. The leap to Java and ImageJ has been challenging and a rather steep climb for me. This book has really helped me over the hump not only in terms of Java constructs and ImageJ's architecture, but also in terms of providing a clear road map for good OO design. It may not have been the intention of the authors to provide lessons in OO design, but that is the chief value of this very readable book for me. In particular, I have found Chapter 11 (binary object analysis) extremely useful in my own work. In fact, I have re-engineered much of my own code based upon what I learned in this one chapter. I am looking forward to the portions on frequency analysis. My only wish is that the English translation had been ready when I started with Java and ImageJ three years ago - I might have greatly shortened my programming path. I encourage all ImageJ users to give Digital Image Processing a serious look, and to add it to the toolkit.

This book focuses on introducing digital image processing using this programming language ImageJ. This distinguishes the book from basically all other text books in imaging I am aware of.
On the web site [...] additional information (source code, images) can be found.
The colour printing and the quality of the paper are excellent. This makes browsing the book a pleasant experience. It is a worthy addition to the textbooks I have, as it explains the basics of digital image processing without avoiding the essential mathematical background. It is an extremely useful textbook for (undergraduate) digital imaging courses based on Java / ImageJ. For people familiar with Java and interested in imaging, it is double worth the money as a reference book.

An excellent coverage of image processing concepts, principles and practical programming exercises. Tying this to ImageJ and giving extensive examples makes this book a most valuable refernece to those in many fields from psychology perception through to computer generated analysis.

It is well writtin, plenty of examples and diagrams and covering a wide and inclusive range of topics and concepts.

I thoroughly reccommend!!!

I bought this book because I was interested in learning more about how to work with raster data (images) in geospatial programs. This is a very comprehensive coverage of the topic of image processing and analysis in Java. The book is suitable for use in a college class, and is set up like a traditional textbook. It has lots of color figures and diagrams.

The examples in the book are set-up to work with ImageJ, an open source image processing program written in Java, and the book includes a good overview of ImageJ and its API.

This book is not a casual introduction to the topic of image processing, and isn't necessarily a cozy read. It definitely reads like a text book. Still, I think it is a great introduction to image processing in Java, and something most capable Java programmers will be able to read and understand.

Appropriately for an image processing book this book uses images, plots and other graphics to clearly explain mathematical concepts used in image processing.