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The major challenges of automatic track counting are distinguishing tracksand material defects, identifying small tracks and defects of similar size, anddetecting overlapping tracks. Here we address the latter issue using WUSEM, analgorithm which combines the watershed transform, morphological erosions andlabeling to separate regions in photomicrographs. WUSEM shows reliable resultswhen used in photomicrographs presenting almost isotropic objects. We testedthis method in two datasets of diallyl phthalate (DAP) photomicrographs andcompared the results when counting manually and using the classic watershed.The mean automatic/manual efficiency ratio when using WUSEM in the testdatasets is 0.97 +/- 0.11.

Segmentation of nearly isotropic overlapped tracks in photomicrographs using successive erosions as watershed markers