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Melanosome Tracking Using Automatic Error Correction
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
doi:10.1587/transinf.2013edp7458
fatcat:hdzjexfscjcjli4nuf6payl7zi