MELANOSOME TRACKING BY BAYES THEOREM AND ESTIMATION OF MOVABLE REGION

Toshiaki Okabe, Kazuhiro Hotta

2012

Abstract

This paper proposes a melanosome tracking method using Bayes theorem and estimation of movable region of melanosome candidates. Melanosomes in intracellular images are tracked manually now to investigate the cause of disease, and automatic tracking method is desired. Since there are little automatic recognition methods for intracellular images, we can not know which features and classifiers are effective for them. Thus, we try to develop the melanosome tracking using Bayes theorem of melanosome candidates detected by Scale-Invariant Feature Transform (SIFT). However, SIFT can not detect the center of melanosome because melanosome is too small in images. Therefore, SIFT detector is adopted after image size is enlarged by Lanczos resampling. However, there are still many melanosome candidates. Thus, we estimate the movable region of the target melanosome in next frame and eliminate melanosome candidates. After the posterior probability of each candidate is computed by Bayes theorem, and the melanosome with the maximum probability is tracked. Experimental results using the melanosome images of normal and Griscelli syndrome show the effectiveness of our method.

Paper Citation

in Harvard Style

Okabe T. and Hotta K. (2012). MELANOSOME TRACKING BY BAYES THEOREM AND ESTIMATION OF MOVABLE REGION . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 482-487. DOI: 10.5220/0003836104820487

in Bibtex Style

@conference{icpram12,
author={Toshiaki Okabe and Kazuhiro Hotta},
title={MELANOSOME TRACKING BY BAYES THEOREM AND ESTIMATION OF MOVABLE REGION},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={482-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003836104820487},
isbn={978-989-8425-99-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - MELANOSOME TRACKING BY BAYES THEOREM AND ESTIMATION OF MOVABLE REGION
SN - 978-989-8425-99-7
AU - Okabe T.
AU - Hotta K.
PY - 2012
SP - 482
EP - 487
DO - 10.5220/0003836104820487