Feature Extraction & Image Processing for Computer Vision, Second Edition [Paperback]

Mark Nixon (Author), Alberto S Aguado (Author)

Book Description

ISBN-10: 0123725380 | ISBN-13: 978-0123725387 | Publication Date: January 22, 2008 | Edition: 2

* Essential reading for engineers and students working in this cutting edge field
* Ideal module text and background reference for courses in image processing and computer vision
* Companion website includes worksheets, links to free software, Matlab files and new demonstrations

Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web.

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.

The new edition includes:

* New coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency); geometric active contours; morphology; camera models
* Updated coverage of image smoothing (anistropic diffusion); skeletonization; edge detection; curvature; shape descriptions (moments)

* Essential reading for engineers and students working in this cutting edge field
* Ideal module text and background reference for courses in image processing and computer vision
* Companion website includes worksheets, links to free software, Matlab files and solutions

Product Details

• Paperback: 424 pages
• Publisher: Academic Press; 2 edition (January 22, 2008)
• Language: English
• ISBN-10: 0123725380
• ISBN-13: 978-0123725387
• Product Dimensions: 9.4 x 6.8 x 1 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #230,897 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

8 of 10 people found the following review helpful:

4.0 out of 5 stars extends the Davies book, February 24, 2008

By 

W Boudville (Terra, Sol 3) - See all my reviews
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This review is from: Feature Extraction & Image Processing for Computer Vision, Second Edition (Paperback)

How to define and find features in an image is the core of this book. Unlike broader texts on image recognition, like Davies' Machine Vision : Theory, Algorithms, Practicalities, Nixon and Aguado specialise to what researchers might regard as a crucial issue.

There is some amount of background, of course. Like explaining how the Hough transform works in a dual image space. But in this example, as others, the book gives a more indepth mathematical treatment than Davies. So the Hough transform is described for lines, which Davies does, but also for polar representations of lines, and for circles and ellipses. One effect is to give you enough case studies of how Hough transforms are found, that you can make your own, for some geometrical object to search for in your images.

3 of 3 people found the following review helpful:

4.0 out of 5 stars A very enjoyable introduction, March 25, 2010

By 

M. Henri De Feraudy (France) - See all my reviews
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This review is from: Feature Extraction & Image Processing for Computer Vision, Second Edition (Paperback)

The writing style of this book is very good, and there is a bit of light hearted humour here and there.
I fact I find it rather hard to put down, which is rather rare for a technical book like this.
It's very well pitched for someone like me who has had almost zero experienced at processing pictures with programmes, but who has used a few of these techniques in
software like Corel Photopaint.
The author does a pretty good job at explaining concepts like frequency domain analysis, it could be the first introduction you will ever have.
The explanations on projective geometry are a little too hastily written in my opinion, but I haven't seen an entirely satisfactory text on this subject yet.
The book is a little out of date already as it doesn't mention the SURF technique (which was invented in 2006, see the Wikipedia).
Still, all in all a very good place to start, but by no means a reference book.

0 of 7 people found the following review helpful:

4.0 out of 5 stars great book; good delivery, December 1, 2009

By 

Pavel Vlasanek (Czech Republic) - See all my reviews
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This review is from: Feature Extraction & Image Processing for Computer Vision, Second Edition (Paperback)

Very useful book, full of great informations, accompanied of many examples. Very fast delivery (to Czech Republic), but book came slightly damaged.