2020
DOI: 10.1007/s10851-019-00936-6
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Characterization of Graph-Based Hierarchical Watersheds: Theory and Algorithms

Abstract: Watershed is a well established clustering and segmentation method. In this article, we aim to achieve a better theoretical understanding of the hierarchical version of the watershed operator. More precisely, we propose a characterization of hierarchical watersheds in the framework of edge-weighted graphs. The proposed characterization leads to an efficient algorithm to recognize hierarchical watersheds.

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Cited by 3 publications
(1 citation statement)
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“…These partitions can also be total. This is the case of the binary partition tree and its variants [23,27,19] and the hierarchical watershed [13,26]. Other hierarchical structures are directed acyclic graphs (DAGs), e.g.…”
Section: Introductionmentioning
confidence: 99%
“…These partitions can also be total. This is the case of the binary partition tree and its variants [23,27,19] and the hierarchical watershed [13,26]. Other hierarchical structures are directed acyclic graphs (DAGs), e.g.…”
Section: Introductionmentioning
confidence: 99%