Melanosome Tracking Using Automatic Error Correction

Toshiaki OKABE, Kazuhiro HOTTA
2014 IEICE transactions on information and systems  
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
more » ... e 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.
doi:10.1587/transinf.2013edp7458 fatcat:hdzjexfscjcjli4nuf6payl7zi