TEXTURE REMOVAL IN COLOR IMAGES BY ANISOTROPIC DIFFUSION

Baptiste Magnier, Philippe Montesinos, Daniel Diep

Abstract

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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Paper Citation


in Harvard Style

Magnier B., Montesinos P. and Diep D. (2011). TEXTURE REMOVAL IN COLOR IMAGES BY ANISOTROPIC DIFFUSION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 40-50. DOI: 10.5220/0003363600400050


in Bibtex Style

@conference{visapp11,
author={Baptiste Magnier and Philippe Montesinos and Daniel Diep},
title={TEXTURE REMOVAL IN COLOR IMAGES BY ANISOTROPIC DIFFUSION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={40-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003363600400050},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - TEXTURE REMOVAL IN COLOR IMAGES BY ANISOTROPIC DIFFUSION
SN - 978-989-8425-47-8
AU - Magnier B.
AU - Montesinos P.
AU - Diep D.
PY - 2011
SP - 40
EP - 50
DO - 10.5220/0003363600400050