BACKGROUND SEGMENTATION IN MICROSCOPY IMAGES

J. J. Charles, L. I. Kuncheva, B. Wells

Abstract

In many applications it is necessary to segment the foreground of an image from the background. However images from microscope slides illuminated using transmitted light have uneven background light levels. The non-uniform illumination makes segmentation difficult. We propose to fit a set of parabolas in order to segment the image into background and foreground. Parabolas are fitted separately on horizontal and vertical stripes of the grey level intensity image. A pixel is labelled as background or foreground based on the two corresponding parabolas. The proposed method outperforms the following four standard segmentation techniques, (1) thresholding determined manually or by fitting a mixture of Gaussians, (2) clustering in the RGB space, (3) fitting a two-argument quadratic function on the whole image and (4) using the morphological closure method.

References

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Paper Citation


in Harvard Style

Charles J., Kuncheva L. and Wells B. (2008). BACKGROUND SEGMENTATION IN MICROSCOPY IMAGES . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 139-145. DOI: 10.5220/0001070901390145


in Bibtex Style

@conference{visapp08,
author={J. J. Charles and L. I. Kuncheva and B. Wells},
title={BACKGROUND SEGMENTATION IN MICROSCOPY IMAGES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={139-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001070901390145},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - BACKGROUND SEGMENTATION IN MICROSCOPY IMAGES
SN - 978-989-8111-21-0
AU - Charles J.
AU - Kuncheva L.
AU - Wells B.
PY - 2008
SP - 139
EP - 145
DO - 10.5220/0001070901390145