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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Desolneux, Agnès (Autor), Moisan, Lionel (Autor), Morel, Jean-Michel (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Interdisciplinary Applied Mathematics, 34
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a From Gestalt Theory to Image Analysis  |h [electronic resource] :  |b A Probabilistic Approach /  |c by Agnès Desolneux, Lionel Moisan, Jean-Michel Morel. 
250 |a 1st ed. 2008. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2008. 
300 |a XII, 276 p. 130 illus.  |b online resource. 
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490 1 |a Interdisciplinary Applied Mathematics,  |x 2196-9973 ;  |v 34 
505 0 |a Gestalt Theory -- The Helmholtz Principle -- Estimating the Binomial Tail -- Alignments in Digital Images -- Maximal Meaningfulness and the Exclusion Principle -- Modes of a Histogram -- Vanishing Points -- Contrasted Boundaries -- Variational or Meaningful Boundaries? -- Clusters -- Binocular Grouping -- A Psychophysical Study of the Helmholtz Principle -- Back to the Gestalt Programme -- Other Theories, Discussion. 
520 |a 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. 
650 0 |a Computer vision. 
650 0 |a Differential equations. 
650 0 |a Signal processing. 
650 0 |a Information visualization. 
650 0 |a Mathematics. 
650 0 |a Algorithms. 
650 1 4 |a Computer Vision. 
650 2 4 |a Differential Equations. 
650 2 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Data and Information Visualization. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Algorithms. 
700 1 |a Moisan, Lionel.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Morel, Jean-Michel.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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830 0 |a Interdisciplinary Applied Mathematics,  |x 2196-9973 ;  |v 34 
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950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)