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Proceedings Paper

Efficient morphological segmentation for significantly overlapped particles
Author(s): Yim-Kul Lee; Jung-Hee Kim
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Paper 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.

Paper Details

Date Published: 28 March 1995
PDF: 9 pages
Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); doi: 10.1117/12.205237
Show Author Affiliations
Yim-Kul Lee, Korea Institute of Science and Technology (South Korea)
Jung-Hee Kim, Korea Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 2424:
Nonlinear Image Processing VI
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham; Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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