Abstract: An efficient morphological method, based on watershed concept, is presented for the segmentation of overlapped particles with similar sizes. The method described first calculates the distance functions of particles in an image and then compares the boundary lengths of segmented regions with those of their minima to discriminate between desirable and undesirable segments. A post-processing is followed to merge the undesirable segments into the desirable neighboring segments, computing the new distance functions of the former segments. Experimental results are given with circular particles significantly overlapped along with comparisons. !9
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