OPTIMAL SPATIAL ADAPTATION FOR LOCAL REGION-BASED ACTIVE CONTOURS - An Intersection of Confidence Intervals Approach

Qing Yang, Djamal Boukerroui

2011

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 Harvard Style

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 - Volume 1: IMAGAPP, (VISIGRAPP 2011) ISBN 978-989-8425-46-1, pages 87-93. DOI: 10.5220/0003379100870093


in Harvard Style

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 - Volume 1: IMAGAPP, (VISIGRAPP 2011) ISBN 978-989-8425-46-1, pages 87-93. DOI: 10.5220/0003379100870093


in Bibtex Style

@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 - Volume 1: IMAGAPP, (VISIGRAPP 2011)},
year={2011},
pages={87-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003379100870093},
isbn={978-989-8425-46-1},
}


in Bibtex Style

@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 - Volume 1: IMAGAPP, (VISIGRAPP 2011)},
year={2011},
pages={87-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003379100870093},
isbn={978-989-8425-46-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011)
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


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2011)
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