Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
.
Default
.
PageMenu
-
Main Menu
-
Simple Search
.
Advanced Search
.
Journal Search
.
Refine Search Results
.
Preferences
.
Search Menu
Simple Search
.
Advanced Search
.
New Items Search
.
Journal Search
.
Refine Search Results
.
Bottom Menu
Help
Italian
.
English
.
German
.
New Item Menu
New Items Search
.
New Items List
.
Links
SISSA Library
.
ICTP library
.
Italian National web catalog (SBN)
.
Trieste University web catalog
.
Udine University web catalog
.
© LIBERO v6.4.1sp220816
Page content
You are here
:
Catalogue Display
Catalogue Display
From Gestalt Theory to Image Analysis: A Probabilistic Approach
.
Bookmark this Record
Catalogue Record 27111
.
.
Author info on Wikipedia
.
.
LibraryThing
.
.
Google Books
.
.
Amazon Books
.
Catalogue Information
Catalogue Record 27111
.
Reviews
Catalogue Record 27111
.
British Library
Resolver for RSN-27111
Google Scholar
Resolver for RSN-27111
WorldCat
Resolver for RSN-27111
Catalogo Nazionale SBN
Resolver for RSN-27111
GoogleBooks
Resolver for RSN-27111
ICTP Library
Resolver for RSN-27111
.
Share Link
Jump to link
Catalogue Information
Field name
Details
Dewey Class
515.353
Title
From Gestalt Theory to Image Analysis ([Ebook]) : A Probabilistic Approach / by Agnés Desolneux, Lionel Moisan, Jean-Michel Morel.
Author
Desolneux, Agnés
Added Personal Name
Moisan, Lionel
Morel, Jean-Michel
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : Springer New York , 2008.
Physical Details
: online resource.
Series
Interdisciplinary Applied Mathematics
0939-6047 ; ; 34
ISBN
9780387743783
Summary Note
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.:
Contents note
Introduction -- 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.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-0-387-74378-3
Links to Related Works
Subject References:
Algorithms
.
Applications of Mathematics
.
Computer vision
.
Differential equations, Partial
.
Image Processing and Computer Vision
.
Signal, Image and Speech Processing
.
Visualization
.
Authors:
author
.
Desolneux, Agnés
.
Moisan, Lionel
.
Morel, Jean-Michel
.
Corporate Authors:
SpringerLink (Online service)
.
Series:
Interdisciplinary Applied Mathematics
.
Classification:
515.353
.
515.353 (DDC 23)
.
.
ISBD Display
Catalogue Record 27111
.
Tag Display
Catalogue Record 27111
.
Related Works
Catalogue Record 27111
.
Marc XML
Catalogue Record 27111
.
Add Title to Basket
Catalogue Record 27111
.
Catalogue Information 27111
Beginning of record
.
Catalogue Information 27111
Top of page
.
Download Title
Catalogue Record 27111
Export
This Record
As
Labelled Format
Bibliographic Format
ISBD Format
MARC Format
MARC Binary Format
MARCXML Format
User-Defined Format:
Title
Author
Series
Publication Details
Subject
To
File
Email
Reviews
This item has not been rated.
Add a Review and/or Rating
27111
1
27111
-
2
27111
-
3
27111
-
4
27111
-
5
27111
-
Quick Search
Search for