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Spatio-Temporal Image Processing [electronic resource] : Theory and Scientific Applications / edited by Bernd Jähne.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 751Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1993Description: XIV, 214 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540481454
Subject(s): Additional physical formats: Printed edition:: No titleOnline resources:
Contents:
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.
In: Springer eBooksSummary: 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.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK6332

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.

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The Institute of Mathematical Sciences, Chennai, India