SELECTIVE IMAGE DIFFUSION FOR ORIENTED PATTERN EXTRACTION

A. Histace, V. Courboulay, M. Ménard

Abstract

Anisotropic regularization PDE’s (Partial Differential Equation) raised a strong interest in the field of image processing. The benefit of PDE-based regularization methods lies in the ability to smooth data in a nonlinear way, allowing the preservation of important image features (contours, corners or other discontinuities). In this article, a selective diffusion approach based on the framework of Extreme Physical Information theory is presented. It is shown that this particular framework leads to a particular regularization PDE which makes it possible integration of prior knowledge within diffusion scheme. As a proof a feasibility, results of oriented pattern extractions are presented on ad hoc images. This approach may find applicability in vision in robotics.

References

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Paper Citation


in Harvard Style

Histace A., Courboulay V. and Ménard M. (2007). SELECTIVE IMAGE DIFFUSION FOR ORIENTED PATTERN EXTRACTION . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 978-972-8865-83-2, pages 270-274. DOI: 10.5220/0001617802700274


in Bibtex Style

@conference{icinco07,
author={A. Histace and V. Courboulay and M. Ménard},
title={SELECTIVE IMAGE DIFFUSION FOR ORIENTED PATTERN EXTRACTION},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2007},
pages={270-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001617802700274},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - SELECTIVE IMAGE DIFFUSION FOR ORIENTED PATTERN EXTRACTION
SN - 978-972-8865-83-2
AU - Histace A.
AU - Courboulay V.
AU - Ménard M.
PY - 2007
SP - 270
EP - 274
DO - 10.5220/0001617802700274