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ISE Image Processing, Analysis and Machine Vision
by Milan Sonka; Vaclav Hlavac; Roger Boyle
Product Group: Book
Publisher: Nelson Engineering (2007-04-18)
ISBN: 0495244384
EAN: 9780495244387
Paperback: 864 pages
Edition: Student Ed
Condition: New
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Customer Reviews
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Highly recommended -- essential reading
Rating  (5)
Date: 2002-04-10
25 out of 27 customers found this reveiw helpful
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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Fascinating, thrilling ... a cracking read
Rating (5)
Date: 2000-02-10
4 out of 41 customers found this reveiw helpful
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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Fascinating and gripping.
Rating (5)
Date: 2000-02-10
0 out of 3 customers found this reveiw helpful
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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