Spatio-Temporal Image Processing: Theory and Scientific Applications
Author:   Bernd Jähne
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1993 ed.
Volume:   751
ISBN:  

9783540574187


Pages:   214
Publication Date:   10 November 1993
Format:   Paperback
Availability:   In Print   Availability explained
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Spatio-Temporal Image Processing: Theory and Scientific Applications


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Overview

Image sequence processing is becoming a tremendous tool toanalyze spatio-temporal data in all areas of naturalscience. It is the key to studythe dynamics of of complexscientific phenomena. Methods from computer science and thefield of application are merged establishing newinterdisciplinary research areas. This monograph emerged from scientific applications and thusis an example for such an interdisciplinaryapproach. It isaddressed both to computer scientists and to researchersfrom other fields who are applying methods of computervision. The results presented are mostly from environmentalphysics (oceanography) but they will be illuminating andhelpful for researchers applying similar methods in otherareas.

Full Product Details

Author:   Bernd Jähne
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1993 ed.
Volume:   751
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.720kg
ISBN:  

9783540574187


ISBN 10:   3540574182
Pages:   214
Publication Date:   10 November 1993
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of 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.

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