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From Gestalt Theory to Image Analysis: A Probabilistic Approach

Contributor(s): Desolneux, Agnès (Author), Moisan, Lionel (Author), Morel, Jean-Michel (Author)

ISBN: 9781441924810

Publisher: Springer

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$54.99
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Pub Date: November 25, 2010

Dewey: 006.370151

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.60" H x 9.21" L x 6.14" W ( 0.90 lbs) 276 pages

Series: Interdisciplinary Applied Mathematics

Descriptions, Reviews, etc.

Description:

This book introduces a new theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are a mathematical formalization of the Gestalt theory. The text includes numerous illustrations, and chapter-end exercises, to reinforce understanding.

Review Quotes:

From the reviews:

"This book tells the story of how to construct objects form images, in a way closely related to human perception. ... contains many illustrations and images that are analyzed, from various fields of applied science. ... References in the end, however, are helpful for further reading. ... To summarize, the book is a fine and timely introduction to a fascinating field of science. I can certainly recommend its reading to anyone dealing in a probabilistic sense with images ... ." (A. Stein, Kwantitatieve Methoden, Issue R09, 2008)

"This book is focused on Gestalt theory and image processing using probabilistic approaches. ... carefully written with exercise problems in each chapter and can be used directly as a textbook on the topic. ... This book is clearly written and relatively easy to read. The topics and directions are well thought out and can be used as a textbook for a graduate-level course on the topic. It is an interesting book on Gestalt theory and a good introduction to the meaningful events and related topics." (Sung Ha Kang, SIAM Review, Vol. 52 (2), 2010)

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