From Gestalt Theory to Image Analysis. A Probabilistic Approach. (= Interdisciplinary Applied Mathematics. Volume 34).

Desolneux, Agnès (et al.):

ISBN 10: 0387726357 / ISBN 13: 9780387726359

Published by Berlin, Springer, 2008

About this Item

XII / 273 pp. Sprache: Englisch Gewicht in Gramm: 500 Large 8vo. Original Hardcover, a bit rubbed and bumped, otherwise fine, text in English. Seller Inventory # 510093

Bibliographic Details

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

Publisher: Berlin, Springer

Publication Date: 2008

Binding: Hardcover

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. 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 mathematically self-contained, needing only basic understanding of probability and calculus. The text includes more than 130 illustrations, and numerous examples based on specific images on which the theory is tested. Detailed exercises at the end of each chapter help the reader develop a firm understanding of the concepts imparted.

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.