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Proceedings Paper

A polynomial texture extraction with application in dynamic texture classification
Author(s): R. El Moubtahij; B. Augereau; C. Fernandez-Maloigne; H. Tairi
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Paper Abstract

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.

Paper Details

Date Published: 30 April 2015
PDF: 7 pages
Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 953407 (30 April 2015); doi: 10.1117/12.2182865
Show Author Affiliations
R. El Moubtahij, XLIM-SIC, CNRS, Univ. de Poitiers (France)
Univ. Sidi Mohammed Ben Abdellah (Morocco)
B. Augereau, XLIM-SIC, CNRS, Univ. de Poitiers (France)
C. Fernandez-Maloigne, XLIM-SIC, CNRS, Univ. de Poitiers (France)
H. Tairi, Univ. Sidi Mohammed Ben Abdellah (Morocco)


Published in SPIE Proceedings Vol. 9534:
Twelfth International Conference on Quality Control by Artificial Vision 2015
Fabrice Meriaudeau; Olivier Aubreton, Editor(s)

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