| 书目名称 | Statistical Image Processing Techniques for Noisy Images | | 副标题 | An Application-Orien | | 编辑 | François Goudail,Philippe Réfrégier | | 视频video | | | 图书封面 |  | | 描述 | .Statistical Processing Techniques for Noisy Images. presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields. | | 出版日期 | Book 2004 | | 关键词 | Excel; Statistica; Tracking; algorithm; algorithms; classification; detection; image processing; imaging; seg | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-8855-3 | | isbn_softcover | 978-1-4613-4692-0 | | isbn_ebook | 978-1-4419-8855-3 | | copyright | Springer Science+Business Media New York 2004 |
The information of publication is updating
|
|
发表于 2025-3-21 17:45:19
