Abstract
Image sequence processing techniques are essential to study dynamical processes such as exchange, growth, and transport processes. In this survey paper, a generalized framework for the estimation of the parameters of dynamic processes including motion fields is presented. Some examples from environmental and live sciences illustrate how this framework helped to tackles some key questions that could not be solved without taking and analyzing image sequences.
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Jähne, B. (2003). Image Sequence Analysis in Environmental and Live Sciences. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_77
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DOI: https://doi.org/10.1007/978-3-540-45243-0_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40861-1
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