From Gestalt Theory to Image Analysis: A Probabilistic Approach

Agnès Desolneux · Lionel Moisan · Jean-Michel Morel

2007年12月 · Interdisciplinary Applied Mathematics 第 34 冊 · Springer Science & Business Media

關於本電子書

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.