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. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Jähne, B. (2003). Image sequence analysis in environmental and live sciences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2781, 608–617. https://doi.org/10.1007/978-3-540-45243-0_77
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