Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
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.
| Autorius: | Agnès Desolneux, Jean-Michel Morel, Lionel Moisan, |
| Serija: | Interdisciplinary Applied Mathematics |
| Leidėjas: | Springer US |
| Išleidimo metai: | 2010 |
| Knygos puslapių skaičius: | 288 |
| ISBN-10: | 1441924817 |
| ISBN-13: | 9781441924810 |
| Formatas: | 235 x 155 x 16 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „From Gestalt Theory to Image Analysis: A Probabilistic Approach“
