From Gestalt Theory to Image Analysis: A Probabilistic Approach

Agnès Desolneux

ISBN 10: 1441924817 / ISBN 13: 9781441924810

Published by Springer New York, 2007

About this Item

276 pages. 9.00x6.00x0.65 inches. In Stock. Seller Inventory # x-1441924817

Bibliographic Details

Title: From Gestalt Theory to Image Analysis: A ...

Publisher: Springer New York

Publication Date: 2007

Binding: Paperback

Condition: Brand New

About this title

Synopsis:

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.

From the Back Cover:

This book introduces the reader to a recent theory in Computer Vision yielding elementary techniques to analyse digital images. These techniques are inspired from and are a mathematical formalization of the Gestalt theory. Gestalt theory, which had never been formalized is a rigorous realm of vision psychology developped between 1923 and 1975.

From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis.

 The book is intended for a multidisciplinary audience of researchers and engineers. It is self contained in three aspects: mathematics, vision and algorithms, and requires only a background of elementary calculus and probability. A large number of illustrations, exercises and examples are included. The authors maintain a public software, MegaWave, containing implementations of most of the image analysis techniques developed in the book.