Feature Extraction and Image Processing for Computer Vision
3rd Edition
Published on 3. August 2012
Book
Paperback/Softback
632 pages
978-0-12-396549-3 (ISBN)
Description
Feature Extraction and Image Processing for Computer Vision 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.
Reviews / Votes
"...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
More details
Edition
3rd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
University researchers, Research & Development engineers, graduate students.
Dimensions
Height: 235 mm
Width: 191 mm
Weight
1160 gr
ISBN-13
978-0-12-396549-3 (9780123965493)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Mark Nixon | Alberto Aguado
Feature Extraction and Image Processing for Computer Vision
Book
11/2019
4th Edition
Academic Press
€85.36
Shipment within 15-20 days
Additional editions
E-Book
12/2012
3rd Edition
Academic Press
€60.95
Available for download
Previous edition
Mark Nixon
Feature Extraction & Image Processing
Book
12/2007
2nd Edition
Academic Press
€61.89
Article exhausted; check for reprint
Person
Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR.
Content
1. Introduction2. Images, Sampling and Frequency Domain Processing3. Basic Image Processing Operations4. Low-Level Feature Extraction (including Edge Detection)5. High-Level Feature Extraction: Fixed Shape Matching6. High-Level Feature Extraction: Deformable Shape Analysis7. Object Description8. Introduction to Texture Description, Segmentation and Classification9. Moving Object Detection and Description10. Appendix 1: Camera Geometry Fundamentals11. Appendix 2: Least Squares Analysis12. Appendix 3: Principal Components Analysis13. Appendix 4: Colour Images