Melanosome Tracking Using Automatic Error Correction

Toshiaki OKABE  Kazuhiro HOTTA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E97-D    No.12    pp.3201-3209
Publication Date: 2014/12/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2013EDP7458
Type of Manuscript: PAPER
Category: Biological Engineering
Keyword: 
tracking,  melanosome,  intracellular image,  system biology,  error correction,  

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Summary: 
This paper proposes an automatic error correction method for melanosome tracking. Melanosomes in intracellular images are currently tracked manually when investigating diseases, and an automatic tracking method is desirable. We detect all melanosome candidates by SIFT with 2 different parameters. Of course, the SIFT also detects non-melanosomes. Therefore, we use the 4-valued difference image (4-VDimage) to eliminate non-melanosome candidates. After tracking melanosome, we re-track the melanosome with low confidence again from t+1 to t. If the results from t to t+1 and from t+1 to t are different, we judge that initial tracking result is a failure, the melanosome is eliminated as a candidate and re-tracking is carried out. Experiments demonstrate that our method can correct the error and improves the accuracy.


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