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Computer Science - Image Processing | From Gestalt Theory to Image Analysis - A Probabilistic Approach

From Gestalt Theory to Image Analysis

A Probabilistic Approach

Desolneux, Agnès, Moisan, Lionel, Morel, J.-M.

2008

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  • Includes more than 130 illustrations throughout the text
  • Offers detailed exercises at the end of each chapter
  • Includes a large number of examples, with specific images on which the theory is tested are included

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.

Content Level » Research

Keywords » Alignment - Analysis - Computer Vision - Maxima - computer - image analysis - linear optimization - statistics

Related subjects » Applications - Computational Science & Engineering - Dynamical Systems & Differential Equations - Image Processing - Signals & Communication

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