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

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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.

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Product 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. 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.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Interdisciplinary Applied Mathematics, 34

Release date

December 2007

Availability

Expected to ship within 10 - 15 working days

First published

2008

Authors

, ,

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

Barcode

9780387726359

Categories

LSN

0-387-72635-7



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