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Image Processing, Analysis, and Machine Vision

Image Processing, Analysis, and Machine Vision

Image Processing, Analysis, and Machine Vision
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Image Processing, Analysis, and Machine Vision Hardback - 2007

by Sonka, Milan,Hlavac, Vaclav,Boyle, Roger

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Description

CL Engineering, 3/19/2007 12:00:00 A. hardcover. New. 1.5748 in x 9.2913 in x 8.1890 in. Hardback. No dust jacket. Cover edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
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Details

  • Title Image Processing, Analysis, and Machine Vision
  • Author Sonka, Milan,Hlavac, Vaclav,Boyle, Roger
  • Binding Hardback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 829
  • Volumes 1
  • Language ENG
  • Publisher CL Engineering, Toronto
  • Publication date 3/19/2007 12:00:00 A
  • Illustrated Yes
  • Bookseller's Inventory # mon0000046806
  • ISBN 9780495082521 / 049508252X
  • Weight 3.41 lbs (1.55 kg)
  • Dimensions 9.24 x 8.34 x 1.46 in (23.47 x 21.18 x 3.71 cm)
  • Size 1.5748 in x 9.2913 in x 8.1890 i
  • Category Computers - General Information
  • Library of Congress subjects Image processing, Computer vision
  • Library of Congress Catalogue Number 2007921908
  • Dewey Decimal Code 621.367
  • Quantity available 1
  • Bookseller catalogues Book

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Reader reviews for Image Processing, Analysis, and Machine Vision

From the publisher

This robust text provides deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.
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