Engineering & Transportation

Deliver to your Kindle or other device

Enter a promotion code
or gift card
 
 
 

Try it free

Sample the beginning of this book for free

Deliver to your Kindle or other device

Sorry, this item is not available in
Image not available for
Color:
Image not available

To view this video download Flash Player

 

Feature Extraction & Image Processing for Computer Vision [Kindle Edition]

Mark Nixon
4.8 out of 5 stars  See all reviews (4 customer reviews)

Digital List Price: $79.95 What's this?
Print List Price: $79.95
Kindle Price: $45.99
You Save: $33.96 (42%)

Free Kindle Reading App Anybody can read Kindle books—even without a Kindle device—with the FREE Kindle app for smartphones, tablets and computers.

To get the free app, enter your email address or mobile phone number.

Formats

Amazon Price New from Used from
Kindle Edition $45.99  
Paperback $63.82  
Holiday Deals in Books
Holiday Deals in Books
Find deals for every reader in the Holiday Deals in Books store, featuring savings of up to 50% on cookbooks, children's books, literature & fiction, and more.

Book Description

This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms."

Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.



  • Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews
  • 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
  • The only currently available text to concentrate on feature extraction with working implementation and worked through derivation


Editorial Reviews

Review

".the book is well written and is easy to follow. In fact, the presentation order is the logical order of any actual computer vision system processing pipeline. The authors have done a great job grouping related topics together and touching upon recent techniques."--IAPR Newsletter, October 2013 "The mathematical element is presented in a non-mathematical way thus making the content more accessible.this edition is a very welcome addition to vision extraction."--IMA.org, August 2013 "All in all, I highly recommend this 600 pager as an introduction for students, and as a reference for practitioners. The latter audience will find an abundance of use references in each chapter."--ComputingReviews.com, April 18, 2013 "After reviewing the human vision system, Nixon.and Aguardo.introduce signal processing theory for computer vision and current digital techniques for edge detection within an image, fixed shape matching, and deformable shape analysis. The undergraduate engineering textbook also explains the characterization of objects by boundary, region, and texture descriptions."--Reference and Research Book News, February 2013

From the Back Cover

This book is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms."

Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.


Product Details

  • File Size: 12833 KB
  • Print Length: 632 pages
  • Publisher: Academic Press; 3 edition (December 18, 2012)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B008XDJL3S
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Amazon Best Sellers Rank: #603,487 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  •  Would you like to give feedback on images?.


Customer Reviews

4.8 out of 5 stars
(4)
4.8 out of 5 stars
Share your thoughts with other customers
Most Helpful Customer Reviews
4 of 4 people found the following review helpful
Format:Paperback|Verified Purchase
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.
Comment | 
Was this review helpful to you?
3 of 3 people found the following review helpful
5.0 out of 5 stars Good book!!! December 26, 2012
Format:Paperback
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!!!
Comment | 
Was this review helpful to you?
Format:Paperback|Verified Purchase
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.

If these issues are corrected, it will make an excellent textbook as well.
Comment | 
Was this review helpful to you?
0 of 1 people found the following review helpful
5.0 out of 5 stars Covers topics not covered elsewhere September 22, 2013
Format:Kindle Edition|Verified Purchase
This is a good book that keeps getting better and larger with each succeeding edition. Covers topics not included in other image processing books.
Comment | 
Was this review helpful to you?
Search Customer Reviews
Search these reviews only

More About the Author

Mark Nixon is a Professor at the UK's top Department of Electronics and Computer Science. His research team works in computer vision and in biometrics. His team has pioneered new biometric approaches, including gait, ear and more recently soft biometrics for surveillance.


Forums

There are no discussions about this product yet.
Be the first to discuss this product with the community.
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Look for Similar Items by Category