From gestalt theory to image analysis : a probabilistic approach

Author(s)

Bibliographic Information

From gestalt theory to image analysis : a probabilistic approach

Agnès Desolneux, Lionel Moisan, Jean-Michel Morel

(Interdisciplinary applied mathematics, v. 34)

Springer, c2008

Available at  / 5 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

This book introduces a new theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are a mathematical formalization of the Gestalt theory. 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 mathematically self-contained, needing only basic understanding of probability and calculus. The text includes more than 130 illustrations, and 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.

Table of Contents

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.

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Details

  • NCID
    BA84550992
  • ISBN
    • 9780387726359
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York, NY
  • Pages/Volumes
    xii, 273 p.
  • Size
    25 cm
  • Parent Bibliography ID
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