TEXTURE REMOVAL BY PIXEL CLASSIFICATION USING A ROTATING FILTER

Baptiste Magnier (1) , Philippe Montesinos (1) , Daniel Diep (1)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

In this paper, we present a new method for removing texture in images using a smoothing rotating filter. From this filter, a bank of smoothed images provides pixel signals able to clas- sify a pixel as a texture pixel, a homogenous region pixel or an edge pixel. Then, we introduce a new method for anisotropic diffusion which controls accurately the diffusion near edge and corner points and diffuses isotropically inside textured regions. Several results applied on real images and a compar- ison with anisotropic diffusion methods show that our model is able to remove the texture and control the diffusion.

Mots clés: Smoothing filter; rotating filter; texture; image segmentation; anisotropic diffusion.; anisotropic diffusion

Domaines: Traitement des images [eess.IV]

Baptiste Magnier, Philippe Montesinos, Daniel Diep. TEXTURE REMOVAL BY PIXEL CLASSIFICATION USING A ROTATING FILTER. IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, 2011, pp.1097--1100. ⟨hal-00807785⟩