From Gestalt Theory to Image Analysis : A Probabilistic Approach

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...

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Những tác giả chính: Desolneux, Agnès, 19..-...., mathématicienne, Moisan, Lionel, 19..-...., Mathématicien (Tác giả), Morel, Jean-Michel, 1953- (Tác giả)
Định dạng: Livre numérique
Ngôn ngữ:Anglais
Được phát hành: New York, NY : Springer New York [20..].
Cham : Springer Nature
Phiên bản:1st ed. 2008.
Loạt:Interdisciplinary Applied Mathematics 34
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Chú thích: L'impression du document génère 277 p.
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Edition sous un autre format:• From Gestalt theory to image analysis, a probabilistic approach, Agnès Desolneux, Lionel Moisan, Jean-Michel Morel, New York, NY, Springer, 2008, 1 vol. (XII-273 p.), Interdisciplinary applied mathematics, 978-0-387-72635-9
• From Gestalt theory to image analysis, a probabilistic approach, Agnès Desolneux, Lionel Moisan, Jean-Michel Morel, New York, NY, Springer, 2008, 1 vol. (XII-273 p.), Interdisciplinary applied mathematics, 978-0-387-72635-9
• From Gestalt Theory to Image Analysis, Texte imprimé, 9780387519517
• From Gestalt theory to image analysis, a probabilistic approach, Agnès Desolneux, Lionel Moisan, Jean-Michel Morel, New York, NY, Springer, 2008, 1 vol. (XII-273 p.), Interdisciplinary applied mathematics, 978-0-387-72635-9
Miêu tả
Tóm tắt: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.
Mô tả sách:L'impression du document génère 277 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Thư mục:Bibliogr. Index
số ISBN:9780387743783
số ISSN:2196-9973
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017