| 書(shū)目名稱(chēng) | Statistical Image Processing Techniques for Noisy Images | | 副標(biāo)題 | An Application-Orien | | 編輯 | Fran?ois Goudail,Philippe Réfrégier | | 視頻video | http://file.papertrans.cn/877/876430/876430.mp4 | | 圖書(shū)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 | | 關(guān)鍵詞 | 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 |
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