Decomposition of dynamic textures using Morphological Component Analysis: a new adaptative strategy

Sloven Dubois (1, 2) , Renaud Péteri (1) , Michel Ménard (2)

1 MIA - Mathématiques, Image et Applications - EA 3165
2 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

The research context of this work is dynamic texture analysis and characterization. Many dynamic textures can be modeled as a large scale propagating wave and local oscillating phenomena. The Morphological Component Analysis algorithm (MCA) is used to retrieve these components using a well chosen dictionary. We define a new strategy for adaptive thresholding in the MCA framework, which greatly reduces the computation time when applied on videos. Tests on synthetic and real image sequences illustrate the efficiency of the proposed method and future prospects are finally exposed.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Sloven Dubois, Renaud Péteri, Michel Ménard. Decomposition of dynamic textures using Morphological Component Analysis: a new adaptative strategy. IEEE International Conference on Pattern Recognition (ICPR 2010), Aug 2010, Istanbul, Turkey. 4 p. ⟨hal-00483219⟩