| 书目名称 | Mathematical Models for Registration and Applications to Medical Imaging | | 编辑 | Otmar Scherzer | | 视频video | | | 丛书名称 | Mathematics in Industry | | 图书封面 |  | | 描述 | Image registration is an emerging topic in image processing with many applications in medical imaging, picture and movie processing. The classical problem of image registration is concerned with ?nding an appropriate transformation between two data sets. This fuzzy de?nition of registration requires a mathematical modeling and in particular a mathematical speci?cation of the terms appropriate transformations and correlation between data sets. Depending on the type of application, typically Euler, rigid, plastic, elastic deformations are considered. The variety of similarity p measures ranges from a simpleL distance between the pixel values of the data to mutual information or entropy distances. This goal of this book is to highlight by some experts in industry and medicine relevant and emerging image registration applications and to show new emerging mathematical technologies in these areas. Currently, many registration application are solved based on variational prin- ple requiring sophisticated analysis, such as calculus of variations and the theory of partial differential equations, to name but a few. Due to the numerical compl- ity of registration problems ef?cient numerical re | | 出版日期 | Book 2006 | | 关键词 | Interpolation; Mathematical Modelling; Numerical and Computational Methods; Optical Flow; Registration; V | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-34767-5 | | isbn_softcover | 978-3-642-06403-6 | | isbn_ebook | 978-3-540-34767-5Series ISSN 1612-3956 Series E-ISSN 2198-3283 | | issn_series | 1612-3956 | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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发表于 2025-3-21 16:25:03
