Feature Extraction and Image Processing for Computer Vision

This is lovely book. As a PhD student, I have been looking for a solution to a problem in image processing for 3 months but when I got this book it solved most of my problems. In fact, my PhD supervisor even liked the book. I strongly , without any forms of reservation, recommend this book for people working in image analysis and pattern recognition. The MATLAB codes in the book are also detailed and explanatory.

This book covers recent topics, as well as classical ones, in image processing and low-level computer vision. Its coverage is broad and extensive, which is very difficult to achieve in these fast developing research fields.However, it is better as a handbook for experts, rather than as a textbook for students. Notations are not consistent across chapters or sections, and some of them are quite weird. For example, v, v', v'' denote trajectory, velocity and acceleration in the discussion of curvature. I would prefer p, v, a. Also, a few equations contain errors, which inexperienced students cannot find easily.-----------There are too many errors and some paragraphs are simply not understandable. The book needs serious editing.

This is a good book that keeps getting better and larger with each succeeding edition. Covers topics not included in other image processing books.

Just ok

very good overview of the available feature extraction methods. very good starting point

Great!

I haven't yet read the whole book but I've found so far what I need to give this book a good rating. It has a good balance between the mathematical background and practical implementations. Furthermore, when the theory is not well covered the proper references to the original papers or books are given. I like it!!!

Good book.... A wonderful book for researchers...

This book certainly contains a great deal of content. Good luck understanding a majority of it though. The book never explains things as simply as they are, instead complicating them in a number of ways.It does this by including unnecessarily formalized mathematics when it's really the intuition that is required (but hey, probably gets bonus academic points for this) or by referring back to formulas defined 20-odd pages ago every few words, causing you to constantly have to flick back to move forward. Of course, then you realize the formula it's referring to is guilty of the first issue and is exceedingly simple, or perhaps not even really required to understand the topic anyway.I don't think the basic is suited for teaching, or enhancing understanding if i'm honest. I think it's a book by seasoned computer vision academics, for seasoned computer vision academics. Anyone else could probably find better material elsewhere.