Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science) 2013th Edition

I bought this book as a self-study and as a textbook to bring graduate students "up to speed" about the aspects digital image analysis. It is well written and nicely organized. I also greatly appreciate the exercises at the back of each chapter.I would like to have seen a bit more content about the concepts and principles of to the hardware of image capture in the first chapter. I would maintain that, to appreciate fully the operations that are done with software to change an image histogram, one should first understand how the hardware "camera" system captures an image in the first place. Discussions about such things as the effects on image histograms by changing the equivalent parameters to f-stop or shutter speed merit some consideration. So do discussions about the differences between the pixels in a detector versus the pixels on a monitor that is used to view the captured image.I also admit, the codes that are provided in the book for ImageJ are of little interest to me directly or as a primary part of my teaching exercises. I take more of a "plug-and-play" approach to image processing with software right now. OTOH, I admit that having the codes is nice as reference should I ever change my mind.This book was highly recommended on a professional network forum as the response to a question about the best book to learn image processing. I concur with the recommendation.

I love this book, as well as the precursor, Digital Image Processing: AnAlgorithmic Introduction using Java.The authors are masters of exposition. They provide motivation,clarity, and supporting details, as well as helpful pointers to completesolutions -- and they respect the reader's intelligence. And the supportfor ImageJ and Fiji are fabulous.The authors explain things well, have beautiful illustrations,supply the detailed needed to confirm it for yourself,and address the subtle technical discrepancies with the moregeneral claims.For example, in the description of anisotropic diffusion filters(section 5.3 starting on page 143), they assure the careful reader onp. 149 regarding something the reader might have figured out forthemselves: that as formally described, the filter is not anisotropic,but the descritized approximation of it is anisotropic.Had I started with a book like this, I might have fallen in love withdigital image processing instead of algorithms and data structures.

The book is very nicely written and organized, to the point that I might decide to use it in a course I will be teaching.The 3 stars are due to the fact that Amazon sells it in black and white. The original book, as sold on the publisher's website, is in color. This is a very crucial difference, as Chapter 8 deals with color images, which is very hard to follow when the "color images" that it deals with are actually printed in shades of gray. I am going to return my copy.

in the process of writing a thesis on oceanography i needed to become an image processing wizard ASAP. this set gave me a very good primer that i have been using to expand and standardize my own methods and code.

in the process of writing a thesis on oceanography i needed to become an image processing wizard ASAP. this set gave me a very good primer that i have been using to expand and standardize my own methods and code.

It's good

This book arrived today and in a matter of a few hours I was able to understand a lot about adaptative thresholding and Fourier descriptors.The book is very carefully written, annotates the mathematical dérivations very clearly and provides nice clear pseudocode and then some java code (using JImage). This is in contrast with books that use Matlab, which is expensive and less accessible (but maybe the free "Octave" Matlab-inspired language would do the job). For those who are C++ afficionados there are libraries that try to look like ImageJ.But the point of the book is not to use commercial libraries, but rather to understand some algorithms (and tradeoffs) in detail.Another good aspect of the book is that it takes color images seriously, when many books just assume that if you can deal with grey-level images you can deal with color. It's not so simple as that.The last chapter explains SIFT (used to indentify common features of objects, for say an image-stitching program) in great detail.So here you have a book that goes further than just a user's guide to imaging libraries, but promotes understanding from where you can design functions tailored to your needs.Highly recommended.

Another great book on image processing by one of the best authors in the field.

Most of us use photo processing software, from the CDs that come with cheap cameras right up to Adobe Photoshop, and we know how to do things, but not how the system works. Those who are curious, or students beginning the study of image processing methods, will want clear but thorough explanations of the underlying algorithms.This text assumes that the reader knows a little about Java, although knowledge of other similar computer languages will be sufficient to follow the programs. Everything else is very clearly and thoroughly explained with very clear diagrams.My only complaint is that some of the photo images before and after processing are rather small, and subtle distinctions which would be clear on screen or in larger pictures are not easy to see. This is the first volume of three, the others expanding the contents of this one in much more detail, and adding more advanced techniques.

Ho utilizzato questo libro come bibliografia per la tesi.Ottima base di partenza per lo studio dell'elaborazione delle immagini con semplici esempi per il tool ImageJ.Molto interessante anche da non studiare ma solo per farsi un'idea.