Abstract
The research context of this work is dynamic texture analysis and characterization. A dynamic texture can be described as a time-varying phenomenon with a certain repetitiveness in both space and time.
Many dynamic textures can be modeled as a large scale propagating wavefront and local oscillating phenomena.
The Morphological Component Analysis approach with a well chosen dictionary is used to retrieve the components of dynamic textures. We define two new strategies for adaptive thresholding in the Morphological Component Analysis framework, which greatly reduce the computation time when applied on videos. These strategies are studied with different criteria. Finally, tests on real image sequences illustrate the efficiency of the proposed method.
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Dubois, S., Péteri, R., Ménard, M. (2011). Morphological Component Analysis for Decomposing Dynamic Textures. In: Bergounioux, M. (eds) Mathematical Image Processing. Springer Proceedings in Mathematics, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19604-1_6
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DOI: https://doi.org/10.1007/978-3-642-19604-1_6
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