SELECTIVE IMAGE DIFFUSION FOR ORIENTED PATTERN EXTRACTION

A. Histace, V. Courboulay, M. Ménard

2007

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.

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