From Gestalt Theory to Image Analysis - A Probabilistic Approach (Hardcover, 2008 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Interdisciplinary Applied Mathematics, 34
Release date:	December 2007
First published:	2008
Authors:	Agnes Desolneux • Lionel Moisan • Jean-Michel Morel
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	276
Edition:	2008 ed.
ISBN-13:	978-0-387-72635-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	0-387-72635-7
Barcode:	9780387726359

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