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International Edition

Intl. Ed.

IMAGE PROCESSING TECHNOLOGIES

Intl. Ed.

IMAGE PROCESSING TECHNOLOGIES Hardback - 2004

by AIZAWA

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USA Edition . New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Details

  • Title IMAGE PROCESSING TECHNOLOGIES
  • Author AIZAWA
  • Binding Hardback
  • Edition USA Edition
  • Condition New
  • Pages 296
  • Volumes 1
  • Language ENG
  • Publisher CRC Press, New York
  • Publication date April 7, 2004
  • Illustrated Yes
  • Bookseller's Inventory # cbs 9780824750572
  • 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 18

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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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