A new theoretical development is presented for handling the over-segmentation problem in partitioning-based connected openings. The definition we propose treats singletons generated with the earlier method, as elements of a larger connected component. Unlike the existing formalism, this new method allows detection of filamentous structures linking larger objects. This is demonstrated in attribute filtering on neuron images.
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