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Communication Dans Un Congrès Année : 2011

TEXTURE REMOVAL IN COLOR IMAGES BY ANISOTROPIC DIFFUSION. Preparation of Camera-Ready Contributions to SciTePress Proceedings

Résumé

In this paper, we present a new method for removing texture in color images using a smoothing rotating filter. From this filter, a bank of smoothed images provides pixel signals for each channel image able to classify a pixel belonging to a texture region. We apply this classification in each channel image in order to compute two directions for the anisotropic diffusion. Then, we introduce a new method for vector 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 comparison with vector anisotropic diffusion methods show that our model is able to remove the texture and control the diffusion.
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Dates et versions

hal-00807965 , version 1 (04-04-2013)

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  • HAL Id : hal-00807965 , version 1

Citer

Baptiste Magnier, Philippe Montesinos, Daniel Diep. TEXTURE REMOVAL IN COLOR IMAGES BY ANISOTROPIC DIFFUSION. Preparation of Camera-Ready Contributions to SciTePress Proceedings. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), Mar 2011, Vilamoura, Portugal. http://www.visapp.visigrapp.org/VISAPP2011/. ⟨hal-00807965⟩
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