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Authors: Qing Yang and Djamal Boukerroui

Affiliation: Université de Technologie de Compiègne and Centre de Recherches de Royallieu, France

Keyword(s): Level set segmentation, Local region statistics, Intersection of confidence intervals.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Digital Image Processing ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: In this paper, we propose within the level set framework a region-based segmentation method using local image statistics. An isotropic spatial kernel is used to define locality. We use the Intersection of Confidence Intervals (ICI) approach to define a pixel dependant local scale for the estimation of image statistics. The obtained scale is based on estimated optimal scales, in the sense of the mean-square error of a Local Polynomials Approximation of the observed image conditional on the current segmentation. In other words, the scale is ‘optimal’ in the sense that it gives the best trade-off between the bias and the variance of the estimates. The proposed approach performs very well, especially on images with intensity inhomogeneities.

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Paper citation in several formats:
Yang, Q. and Boukerroui, D. (2011). OPTIMAL SPATIAL ADAPTATION FOR LOCAL REGION-BASED ACTIVE CONTOURS - An Intersection of Confidence Intervals Approach. In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP; ISBN 978-989-8425-46-1, SciTePress, pages 87-93. DOI: 10.5220/0003379100870093

@conference{imagapp11,
author={Qing Yang. and Djamal Boukerroui.},
title={OPTIMAL SPATIAL ADAPTATION FOR LOCAL REGION-BASED ACTIVE CONTOURS - An Intersection of Confidence Intervals Approach},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP},
year={2011},
pages={87-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003379100870093},
isbn={978-989-8425-46-1},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2011) - IMAGAPP
TI - OPTIMAL SPATIAL ADAPTATION FOR LOCAL REGION-BASED ACTIVE CONTOURS - An Intersection of Confidence Intervals Approach
SN - 978-989-8425-46-1
AU - Yang, Q.
AU - Boukerroui, D.
PY - 2011
SP - 87
EP - 93
DO - 10.5220/0003379100870093
PB - SciTePress

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