Unsupervised Light Spot Detection using Background Subtraction

Takaya Niwa, Kazuhiro Hotta

Abstract

Live cell imaging has been developing rapidly by the development of the microscope and fluorescence technique. Light spot detection in intracellular image is important for elucidation of form of morphology of animal. However, light spots are detected manually now, and human can not treat a large number of images. If automatic detection by computer is realized, we can obtain many objective data, and it will be useful for the biology development. In general, supervised learning is useful to develop a good detector. However, many particles are included in an intracellular image, and it is difficult to make a lot of supervised samples. Therefore, in this paper, we propose a light spot detection method based on unsupervised learning. Concretely, we use background subtraction and robust statistics to detect the light spots. In experiments using Wnt-3a images, the proposed method outperforms ImageJ which is usually used in cell biology.

References

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Paper Citation


in Harvard Style

Niwa T. and Hotta K. (2013). Unsupervised Light Spot Detection using Background Subtraction . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 518-521. DOI: 10.5220/0004201205180521


in Bibtex Style

@conference{icpram13,
author={Takaya Niwa and Kazuhiro Hotta},
title={Unsupervised Light Spot Detection using Background Subtraction},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={518-521},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004201205180521},
isbn={978-989-8565-41-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Unsupervised Light Spot Detection using Background Subtraction
SN - 978-989-8565-41-9
AU - Niwa T.
AU - Hotta K.
PY - 2013
SP - 518
EP - 521
DO - 10.5220/0004201205180521