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Spatio-Temporal Image Processing : Theory and Scientific Applications / by Bernd Jähne
(Lecture Notes in Computer Science. ISSN:16113349 ; 751)
版 | 1st ed. 1993. |
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出版者 | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
出版年 | 1993 |
本文言語 | 英語 |
大きさ | XIV, 214 p : online resource |
著者標目 | *Jähne, Bernd author SpringerLink (Online service) |
件 名 | LCSH:Signal processing LCSH:Computer vision LCSH:Environment LCSH:Earth sciences LCSH:Pattern recognition systems LCSH:Dynamics LCSH:Nonlinear theories FREE:Signal, Speech and Image Processing FREE:Computer Vision FREE:Environmental Sciences FREE:Earth Sciences FREE:Automated Pattern Recognition FREE:Applied Dynamical Systems |
一般注記 | and overview -- Image sequence acquisition -- Kinematics and dynamics of motion -- Motion in space-time images -- Fourier transform methods -- Differential methods -- Quadrature filter set methods -- Tensor methods -- Correlation methods -- Phase methods -- Implementation -- Experimental results Image sequence processing is becoming a tremendous tool to analyze spatio-temporal data in all areas of natural science. It is the key to studythe dynamics of of complex scientific phenomena. Methods from computer science and the field of application are merged establishing new interdisciplinary research areas. This monograph emerged from scientific applications and thus is an example for such an interdisciplinaryapproach. It is addressed both to computer scientists and to researchers from other fields who are applying methods of computer vision. The results presented are mostly from environmental physics (oceanography) but they will be illuminating and helpful for researchers applying similar methods in other areas HTTP:URL=https://doi.org/10.1007/3-540-57418-2 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783540481454 |
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EB00225391 |