| 书目名称 | Mathematical Problems in Image Processing |
| 副标题 | Partial Differential |
| 编辑 | Gilles Aubert,Pierre Kornprobst |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Applied Mathematical Sciences |
| 图书封面 |  |
| 描述 | Partial differential equations and variational methods were introduced into image processing about 15 years ago, and intensive research has been carried out since then. The main goal of this work is to present the variety of image analysis applications and the precise mathematics involved. It is intended for two audiences. The first is the mathematical community, to show the contribution of mathematics to this domain and to highlight some unresolved theoretical questions. The second is the computer vision community, to present a clear, self-contained, and global overview of the mathematics involved in image processing problems..The book is divided into five main parts. Chapter 1 is a detailed overview. Chapter 2 describes and illustrates most of the mathematical notions found throughout the work. Chapters 3 and 4 examine how PDEs and variational methods can be successfully applied in image restoration and segmentation processes. Chapter 5, which is more applied, describes some challenging computer vision problems, such as sequence analysis or classification. This book will be useful to researchers and graduate students in mathematics and computer vision. |
| 出版日期 | Book 20021st edition |
| 关键词 | Calculus of Variations; Mathematica; PDE; PDEs in image processing; Partial Differential Equations; compu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b97428 |
| isbn_ebook | 978-0-387-21766-6Series ISSN 0066-5452 Series E-ISSN 2196-968X |
| issn_series | 0066-5452 |
| copyright | Springer Science+Business Media New York 2002 |
发表于 2025-3-21 17:23:12
