Agnès Desolneux, Lionel Moisan, Jean-Michel Morel

From Gestalt Theory to Image Analysis (eBook, PDF)

A Probabilistic Approach

• Format: PDF

Produktbeschreibung

This richly illustrated book introduces the reader to a newly developed theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are inspired by, and are a mathematical formalization of the Gestalt theory. The authors maintain a publicly available software program called MegaWave, containing implementations of most of the image analysis techniques developed in the book. The volume is intended for a multidisciplinary audience of researchers and engineers. It is mathematically self-contained and requires only the basic understanding of probability and calculus. The text contains more than 130 illustrations. The authors offer 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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 276
• Erscheinungstermin: 24. Dezember 2007
• Englisch
• ISBN-13: 9780387743783
• Artikelnr.: 43730028

Autorenporträt

Agnès Desolneux, UFR Math-Info, Paris, France / Lionel Moisan, École Normale Supérieure Centre de Mathématiques et de leurs Applications, Cachan, France / Jean-Michel Morel, École Normale Supérieure Centre de Mathématiques et de leurs Applications, Cachan, France

Inhaltsangabe

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.

Rezensionen

From 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)