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A Threshold Selection Method from Gray-Level Histograms
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Research works printed but not linked: 5
- 10.1016/0010-4809(72)90070-5 · DOI
- 10.1016/0146-664X(74)90029-X · DOI
- fukunage, 1972, Introduction to statistical pattern recognition, 260
- 10.1109/T-C.1974.223858 · DOI
- 10.1111/j.1749-6632.1965.tb11715.x · DOI · Paper page
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Image segmentation using deep learning: A survey
Minaee, S., Boykov, Y. Y., Porikli, F., Plaza, A. J., Kehtarnavaz, N., & Terzopoulos, D. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3059968 · Cited by 3,796
Armato, S. G., McLennan, G., Bidaut, L., McNitt‐Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., et al. (2011) · Medical Physics · doi:10.1118/1.3528204 · Cited by 2,887
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation
Yu, C., Gao, C., Wang, J., Yu, G., Shen, C., & Sang, N. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-021-01515-2 · Cited by 1,813
Dipy, a library for the analysis of diffusion MRI data
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I., & Contributors, D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00008 · Cited by 1,371
“…median_otsu (see Figure 3 ). from dipy.segment.mask import median_otsu mask, S0_mask = median_otsu(data [:, :, :, 0]) median_otsu uses first a median filter to smooth the S0 and then Otsu’s method, an automated histogram method (Otsu, 1979) to separate the brain (foreground) from its background.”
Method
Metadata
- Authors
- Otsu, N.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics
- Published
- 1979-01
- Volume
- 9
- Issue
- 1
- Pages
- 62-66
- ISSN
- 0018-9472 (ISSN-L)
- 2168-2909
- OpenAlex
- W2133059825
- Cited by
- 43,398
- References
- 0
- FWCI
- 4.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- Otsu, N. (1979). A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/tsmc.1979.4310076
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.