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Feature extraction & image processing for computer vision / Mark S. Nixon, Alberto S. Aguado

By: Contributor(s): Material type: TextTextPublication details: Oxford : Academic Press, 2012.Edition: 3rd edDescription: xvii, 609 p. : ill. ; 24 cmISBN:
  • 0123725380
  • 9780123725387
Other title:
  • Feature extraction and image processing for computer vision
Subject(s): DDC classification:
  • 006.37   22
Contents:
Chapter 1 : Introduction -- Chapter 2 : Images, sampling, and frequency domain processing -- Chapter 3 : Basic image processing operations -- Chapter 4 : Low:level feature extraction (including edge detection) -- Chapter 5 : High:level feature extraction: fixed shape matching -- Chapter 6 : High:level feature extraction: deformable shape analysis -- Chapter 7 : Object description -- Chapter 8 : Introduction to texture description, segmentation, and classification -- Chapter 9 : Moving object detection and description -- Chapter 10 : Appendix 1: Camera geometry fundamentals -- Chapter 11 : Appendix 2: Least squares analysis -- Chapter 12 : Appendix 3: Principal components analysis -- Chapter 13 : Appendix 4: Color images -- Index.
Summary: 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. This title is an essential reading for engineers and students working in this cutting edge field. It is an ideal module text and background reference for courses in image processing and computer vision. This is the only currently-available text to concentrate on feature extraction with working implementation and worked through derivation
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 006.37 / NI.F 2012 (Browse shelf(Opens below)) 1 Available 012563

Previous ed.: Oxford: Newnes, 2002.

Includes bibliographical references and index.

Chapter 1 : Introduction -- Chapter 2 : Images, sampling, and frequency domain processing -- Chapter 3 : Basic image processing operations -- Chapter 4 : Low:level feature extraction (including edge detection) -- Chapter 5 : High:level feature extraction: fixed shape matching -- Chapter 6 : High:level feature extraction: deformable shape analysis -- Chapter 7 : Object description -- Chapter 8 : Introduction to texture description, segmentation, and classification -- Chapter 9 : Moving object detection and description -- Chapter 10 : Appendix 1: Camera geometry fundamentals -- Chapter 11 : Appendix 2: Least squares analysis -- Chapter 12 : Appendix 3: Principal components analysis -- Chapter 13 : Appendix 4: Color images -- Index.

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. This title is an essential reading for engineers and students working in this cutting edge field. It is an ideal module text and background reference for courses in image processing and computer vision. This is the only currently-available text to concentrate on feature extraction with working implementation and worked through derivation

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