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Image Processing Technologies: Algorithms, Sensors, and Applications

Image Processing Technologies: Algorithms, Sensors, and Applications

Image Processing Technologies: Algorithms, Sensors, and Applications Hardback - 2004

by Kiyoharu Aizawa

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Description

Hardback. New. Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, Image Processing Technologies tracks the evolution and advancement of computer vision and image processing (CVIP) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and techniques in CVIP applications development and explores various coding methods for individual types of 3-D images. This text/reference brings researchers and specialists up-to-date on the latest innovations affecting multiple image processing environments.
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Details

  • Title Image Processing Technologies: Algorithms, Sensors, and Applications
  • Author Kiyoharu Aizawa
  • Binding Hardback
  • Edition U. S. EDITION
  • Condition New
  • Pages 296
  • Volumes 1
  • Language ENG
  • Publisher CRC Press, New York
  • Publication date April 7, 2004
  • Illustrated Yes
  • Bookseller's Inventory # A9780824750572
  • ISBN 9780824750572 / 0824750578
  • Weight 1.59 lbs (0.72 kg)
  • Dimensions 9 x 6 x 0.76 in (22.86 x 15.24 x 1.93 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Computer algorithms, Image processing - Digital techniques
  • Library of Congress Catalogue Number 2004300733
  • Dewey Decimal Code 621.367
  • Quantity available 1

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Reader reviews for Image Processing Technologies: Algorithms, Sensors, and Applications

From the publisher

Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, Image Processing Technologies tracks the evolution and advancement of computer vision and image processing (CVIP) technologies, examining methods and algorithms for image analysis, optimization, segmentation, and restoration. It focuses on recent approaches and techniques in CVIP applications development and explores various coding methods for individual types of 3-D images. This text/reference brings researchers and specialists up-to-date on the latest innovations affecting multiple image processing environments.

First line

Acquisition of three-dimensional (3-D) information of a real-world scene from two-dimensional images has been one of the most important issues in computer vision and image understanding in the last two decades.
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