Feature Extraction & Image Processing for Computer Vision / Edition 2

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Overview

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.

The title has beenupdated from the previous edition to reflect the computer vision focus of the new edition; this is the only book to focus on feature extraction in a computer vision context.

* 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

Audience: Undergraduate electronic engineers and computer scientists. Postgraduates taking courses in artificial intelligence, computer vision, image processing and CAD. Postgraduate and professional psychologists.

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Editorial Reviews

From the Publisher
"…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
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Product Details

  • ISBN-13: 9780123725387
  • Publisher: Elsevier Science
  • Publication date: 1/8/2008
  • Edition description: Older Edition
  • Edition number: 2
  • Pages: 424
  • Sales rank: 898,737
  • Product dimensions: 6.88 (w) x 9.65 (h) x 0.94 (d)

Meet the Author

Professor in Computer Vision, ISIS research group, Department of Electronics and Computer Science, University of Southampton, Southampton, UK.

Coder, Black Rock Studio, Disney, Brighton, UK.

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Table of Contents

Preface
1 Introduction 1
2 Images, sampling and frequency domain processing 31
3 Basic image processing operations 67
4 Low-level feature extraction (including edge detection) 99
5 Feature extraction by shape matching 161
6 Flexible shape extraction (snakes and other techniques) 217
7 Object description 247
8 Introduction to texture description, segmentation and classification 291
9 Appendices 311
Index 345
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