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Feature Extraction and Image Processing for Computer Vision Paperback – 3 Aug 2012

3.5 out of 5 stars 2 customer reviews

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Product details

  • Paperback: 632 pages
  • Publisher: Academic Press; 3 edition (3 Aug. 2012)
  • Language: English
  • ISBN-10: 0123965497
  • ISBN-13: 978-0123965493
  • Product Dimensions: 19 x 3.8 x 23.8 cm
  • Average Customer Review: 3.5 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: 902,369 in Books (See Top 100 in Books)
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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

About the Author

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.


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3.5 out of 5 stars
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on 3 January 2013
Format: Paperback
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on 24 May 2014
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Amazon.com: 4.3 out of 5 stars 7 reviews
9 people found this helpful.
5.0 out of 5 starsUnavoidable book for Image Processing Scientists and Lecturers
on 17 May 2013 - Published on Amazon.com
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5.0 out of 5 starsFive Stars
on 25 May 2015 - Published on Amazon.com
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3.0 out of 5 starsGood as a handbook for image processing and low-level computer vision.
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2 people found this helpful.
5.0 out of 5 starsCovers topics not covered elsewhere
on 22 September 2013 - Published on Amazon.com
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5.0 out of 5 starsFive Stars
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