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OverviewThis 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. Full Product DetailsAuthor: Agnès Desolneux , Lionel Moisan , Jean-Michel MorelPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of hardcover 1st ed. 2008 Volume: 34 Dimensions: Width: 15.50cm , Height: 1.50cm , Length: 23.50cm Weight: 0.454kg ISBN: 9781441924810ISBN 10: 1441924817 Pages: 276 Publication Date: 25 November 2010 Audience: Professional and scholarly , Professional and scholarly , Professional & Vocational , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of print, replaced by POD ![]() We will order this item for you from a manufatured on demand supplier. Table of ContentsReviewsFrom 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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |