The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
The Watershed Transform: Definitions, Algorithms and Parallelization Strategies
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The watershed transform is the method of choice for image segmentation in the field of mathematical morphology. We present a critical review of several definitions of the watershed transform and the associated sequential algorithms, and discuss vario
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Cites
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Topographic distance and watershed lines
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Cited by
Temporal Action Detection with Structured Segment Networks
Zhao, Y., Xiong, Y., Wang, L., Wu, Z., Tang, X., & Lin, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.317 · Cited by 892
Sousbie, T. (2011) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2011.18394.x · Cited by 674
Medical image segmentation on GPUs – A comprehensive review
Smistad, E., Falch, T. L., Bozorgi, M., Elster, A. C., & Lindseth, F. (2015) · Medical Image Analysis · doi:10.1016/j.media.2014.10.012 · Cited by 264
Härmä, V., Schukov, H.-P., Happonen, A., Ahonen, I., Virtanen, J., Siitari, H., Åkerfelt, M., Lötjönen, J., & Nees, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096426 · Cited by 87
RRSIS: Referring Remote Sensing Image Segmentation
Yuan, Z., Mou, L., Hua, Y., & Zhu, X. X. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3369720 · Cited by 81
Metadata
- Authors
- Roerdink, J. B. T. M., & Meijster, A.
- Venue
- Fundamenta Informaticae
- Publisher
- SAGE Publications
- Published
- 2000
- Volume
- 41
- Issue
- 1,2
- Pages
- 187-228
- ISSN
- 0169-2968 (ISSN-L)
- OpenAlex
- W1652775531
- Cited by
- 1,372
- References
- 21
- FWCI
- 11.84
- Type
- journal article
- Language
- en
- Open access
- green
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- Roerdink, J. B. T. M., & Meijster, A. (2000). The Watershed Transform: Definitions, Algorithms and Parallelization Strategies. Fundamenta Informaticae. https://doi.org/10.3233/fi-2000-411207
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
