| From Gestalt Theory to Image Analysis: A Probabilistic Approach Contributor(s): Desolneux, Agnès (Author), Moisan, Lionel (Author), Morel, Jean-Michel (Author) |
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ISBN: 1441924817 ISBN-13: 9781441924810 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: November 2010 |
| Additional Information |
| BISAC Categories: - Mathematics | Differential Equations - General - Computers | Image Processing - Mathematics | Applied |
| Dewey: 006.370 |
| Series: Interdisciplinary Applied Mathematics |
| Physical Information: 0.6" H x 6.14" W x 9.21" (0.90 lbs) 276 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |