A polynomial texture extraction with application in dynamic texture classification

Redouane El Moubtahij (1, 2) , Bertrand Augereau (1) , Christine Fernandez-Maloigne (1) , Hamid Tairi (2)

1 XLIM-SIC - SIC
2 LIIAN - Laboratoire d'Informatique, Imagerie et Analyse Numérique

Geometry and texture image decomposition is an important paradigm in image processing. Following to Yves Meyer works based on Total Variation (VT), the decomposition model has known a renewed interest. In this paper , we propose an algorithm which decomposes color image into geometry and texture component by projecting the image in a bivariate polynomial basis and considering the geometry component as the partial reconstruction and the texture component as the remaining part. The experimental results show the adequacy of using our method as a texture extraction tool. Furthermore, we integrate it into a dynamic texture classification process.

Mots clés: Texture extraction; Dynamic Textures; Polynomial decomposition; Video classification

Domaines: Traitement des images [eess.IV]

Redouane El Moubtahij, Bertrand Augereau, Christine Fernandez-Maloigne, Hamid Tairi. A polynomial texture extraction with application in dynamic texture classification. Twelfth International Conference on Quality Control by Artificial Vision 2015, Jun 2015, Le Creusot, France. ⟨10.1117/12.2182865⟩. ⟨hal-01211298⟩