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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Local Multiple Orientation Estimation: Isotropic and Recursive Oriented Network
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
F. Michelet, LAP, Equipe Signal et Image, France
C. Germain, LAP, Equipe Signal et Image, France
P. Baylou, LAP, Equipe Signal et Image, France
JP. Da Costa, LAP, Equipe Signal et Image, France
In this paper we propose a new operator for texture orientation estimation. We focus on directional textures which can have more than a single orientation at the same point.
Our operator consists in a steerable network of parallel lines along which a homogeneity feature is computed in the spatial domain. The analysis of the network response along each direction allows us to set up the presence of single or multiple orientations.
In order to reduce the computing cost, we propose a recursive implementation of our operator, thanks to the rotations of the image instead of the rotation of the network.
Our operator works on a small support, and thus provides a local estimation of the orientations. Results obtained both with synthetic textures and natural images are accurate and show the selectivity and the isotropic behaviour of our operator.
Citation:
F. Michelet, C. Germain, P. Baylou, JP. Da Costa, "Local Multiple Orientation Estimation: Isotropic and Recursive Oriented Network," icpr, vol. 1, pp.712-715, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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