Segmentation of nearly isotropic overlapped tracks in photomicrographs using successive erosions as watershed markers
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The major challenges of automatic track counting are distinguishing tracks and material defects, identifying small tracks and defects of similar size, and detecting overlapping tracks. Here we address the latter issue using WUSEM, an algorithm which combines the watershed transform, morphological erosions and labeling to separate regions in photomicrographs. WUSEM shows reliable results when used in photomicrographs presenting almost isotropic objects. We tested this method in two datasets of diallyl phthalate (DAP) photomicrographs and compared the results with manual counting. The automatic/manual efficiency ratio is higher than 0.87 for both datasets.
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