Article
Open Access
Erratum to “Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity: the case of the Felzenszwalb-Huttenlocher method”
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Silvio Guimarães
,
Yukiko Kenmochi
Published/Copyright:
December 23, 2019
Received: 2019-10-21
Accepted: 2019-10-25
Published Online: 2019-12-23
© 2019 Silvio Guimarães et al., published by De Gruyter
Articles in the same Issue
- Regular Articles
- Correspondence between Topological and Discrete Connectivities in Hausdorff Discretization
- Prior-based Hierarchical Segmentation Highlighting Structures of Interest
- Shape-Based Analysis on Component-Graphs for Multivalued Image Processing
- Erratum
- Erratum to “Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity: the case of the Felzenszwalb-Huttenlocher method”
Keywords for this article
scale set theory;
quasi-flat zone hierarchy;
minimum spanning tree;
hierarchical image segmentation;
graph-based method
Creative Commons
BY 4.0
Articles in the same Issue
- Regular Articles
- Correspondence between Topological and Discrete Connectivities in Hausdorff Discretization
- Prior-based Hierarchical Segmentation Highlighting Structures of Interest
- Shape-Based Analysis on Component-Graphs for Multivalued Image Processing
- Erratum
- Erratum to “Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity: the case of the Felzenszwalb-Huttenlocher method”
