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Image Processing: Analysis and Machine Vision
 
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Image Processing: Analysis and Machine Vision (Hardcover)

by Vaclav Hlavak (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)
Price: £45.99 & this item Delivered FREE in the UK with Super Saver Delivery. See details and conditions
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Product details

  • Hardcover: 800 pages
  • Publisher: Thomson Learning Vocational; 2nd Revised edition edition (30 Sep 1998)
  • Language English
  • ISBN-10: 053495393X
  • ISBN-13: 978-0534953935
  • Product Dimensions: 23.6 x 19 x 3.6 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 388,937 in Books (See Bestsellers in Books)

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Product Description

Product Description

This textbook can be used for an undergraduate course in digital image processing and analysis, or an undergraduate/graduate course in computer vision. The updated version presents new sections on compression via JPEG and MPEG, fractals, fuzzy logic recognition, hidden Markov models, Kalman filters

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Customer Reviews

2 Reviews
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Average Customer Review
5.0 out of 5 stars (2 customer reviews)
 
 
 
 
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25 of 27 people found the following review helpful:
5.0 out of 5 stars Highly recommended -- essential reading, 10 April 2002
By A Customer
This book is a "must-have" for those who want to learn about Image Processing and Computer Vision. The book is best suited to the able undergraduate to complement a final year project or course, or to the PhD student and above. The material is well-written, reasonably comprehensive and well-organised. I regularly use this book as a first port of call, but sometimes more specialist texts/papers are required (however this is often due to the fast pace of the field, rather than limitations or omissions in this text). I do not hesitate to recommend this book.
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0 of 6 people found the following review helpful:
5.0 out of 5 stars Fascinating and gripping., 10 Feb 2000
By A Customer
Very few books make me laugh out loud. Even fewer make me weep. This fabulous book took me to both these extremes in the first chapter. Rarely is seen a talent as manifest as Sonika's achieved without losing the freshness and vibrance of a much younger author. Sonika has shunned the jaded cynicism of many of his more mature contemporaries. Influences such as Gordon and Hhleghh are easy to spot, yet there also lies the deeper, warm tones of giants like Stewart or Brown.

Buy 'Image Processing, Analysis and Machine Vision' now, but finish whatever you're currently reading first. Anything after this will only disappoint you.

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