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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| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2008. |
| Collection: | Interdisciplinary Applied Mathematics
34 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
L'impression du document génère 277 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| 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 |