APPLICATION OF SCALE ANALYSIS ON LEVEL SETS FOR COOPERATIVE IMAGE SEGMENTATION

M. Y. Benzian, N. Benamrane

2009

Abstract

Image Segmentation has been used by many approaches and techniques in artificial vision but none of them has been proved to be applied completely successfully for any image or object type. We propose in this paper a segmentation approach based on level sets which incorporate low scale cooperative analysis of both image and curve. The image at a low resolution level provides information on coarse variation of grey level intensity. For the same perspective, the curve at a low resolution scale provides a coarser curvature value. The purpose of image scale cooperative approach is to avoid stopping the curve evolution at local minima of images. This method is tested on a sample of a 2D abdomen image, and can be applied on other image types. The results obtained are satisfying and show good precision of the method.

References

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Paper Citation


in Harvard Style

Benzian M. and Benamrane N. (2009). APPLICATION OF SCALE ANALYSIS ON LEVEL SETS FOR COOPERATIVE IMAGE SEGMENTATION . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 224-230. DOI: 10.5220/0001805802240230


in Bibtex Style

@conference{visapp09,
author={M. Y. Benzian and N. Benamrane},
title={APPLICATION OF SCALE ANALYSIS ON LEVEL SETS FOR COOPERATIVE IMAGE SEGMENTATION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={224-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001805802240230},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - APPLICATION OF SCALE ANALYSIS ON LEVEL SETS FOR COOPERATIVE IMAGE SEGMENTATION
SN - 978-989-8111-69-2
AU - Benzian M.
AU - Benamrane N.
PY - 2009
SP - 224
EP - 230
DO - 10.5220/0001805802240230