| 書目名稱 | From Gestalt Theory to Image Analysis |
| 副標題 | A Probabilistic Appr |
| 編輯 | Agnés Desolneux,Lionel Moisan,Jean-Michel Morel |
| 視頻video | http://file.papertrans.cn/349/348695/348695.mp4 |
| 概述 | Over 130 illustrations throughout the text.Detailed exercises at the end of each chapter.Large number of examples, of specific images on which the theory is tested are included.Includes supplementary |
| 叢書名稱 | Interdisciplinary Applied Mathematics |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Textbook 2008 |
| 關(guān)鍵詞 | Alignment; Analysis; Computer Vision; Maxima; computer; image analysis; linear optimization; statistics; par |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-74378-3 |
| isbn_softcover | 978-1-4419-2481-0 |
| isbn_ebook | 978-0-387-74378-3Series ISSN 0939-6047 Series E-ISSN 2196-9973 |
| issn_series | 0939-6047 |
| copyright | Springer-Verlag New York 2008 |
|Archiver|手機版|小黑屋|
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