Amazon cover image
Image from Amazon.com

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

By: Contributor(s): Material type: TextPublication details: Oxford : Academic Press, 2012.Edition: 3rd edDescription: xvii, 609 p., [2] p. of plates : ill. (some col.) ; 24 cmISBN:
  • 9780123965493 (pbk.)
  • 0123965497 (pbk.)
Other title:
  • Feature extraction and image processing for computer vision [Other title]
Subject(s): DDC classification:
  • 006.37
LOC classification:
  • TA1634 .N59 2012
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--
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Blantyre Branch Library General Collection NFIC 006.37 NIX (Browse shelf(Opens below)) Available 0095405

Includes bibliographical references and 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--

There are no comments on this title.

to post a comment.