| 書(shū)目名稱 | Handbook of Mathematical Methods in Imaging | | 編輯 | Otmar Scherzer | | 視頻video | http://file.papertrans.cn/422/421621/421621.mp4 | | 概述 | Expanded and revised second edition with 10+ new entries and 200 illustrations.Comprehensive and rigorous treatment of mathematical methods in imaging.Available in both print and electronic form, with | | 圖書(shū)封面 |  | | 描述 | .The Handbook of Mathematical Methods .in Imaging. provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous..This expanded and revised second edition contains updates to existing chapters and 16 additional entries on important mathematical methods such as graph cuts, morphology, discrete geometry, PDEs, conformal methods, to name a few. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 200 illustrations and an extended bibliography..It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.. | | 出版日期 | Reference work 2015Latest edition | | 關(guān)鍵詞 | Algorithmic Reconstruction; Mathematical Imaging and Vision; Support Vector Machines; Variation in Imag | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4939-0790-8 | | isbn_ebook | 978-1-4939-0790-8 | | copyright | Springer Science+Business Media New York 2015 |
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