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Image segmentation by generalized hierarchical fuzzy C-means algorithm
Abstract
Fuzzy c-means (FCM) has been considered as an effective algorithm for image segmentation. However, it still suffers from two problems: one is insufficient robustness to image noise, and the other is the Euclidean distance in FCM, which is sensitive t
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Cited by
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Ibtehaz, N., & Rahman, M. S. (2020) · Neural Networks · doi:10.1016/j.neunet.2019.08.025 · Cited by 2,311
An improved ant colony algorithm for robot path planning
Liu, J., Yang, J., Liu, H., Tian, X., & Gao, M. (2017) · Soft Computing · doi:10.1007/s00500-016-2161-7 · Cited by 396
Yu, C., Li, J., Li, X., Ren, X., & Gupta, B. B. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4637-6 · Cited by 257
Measures of uncertainty for neighborhood rough sets
Chen, Y., Xue, Y., Ma, Y., & Xu, F. (2017) · Knowledge-Based Systems · doi:10.1016/j.knosys.2017.01.008 · Cited by 87
Zhou, C., Liang, D., Yang, X., Xu, B., & Yang, G. (2018) · Remote Sensing · doi:10.3390/rs10020246 · Cited by 62
Metadata
- Authors
- Zheng, Y., Jeon, B., Xu, D., Wu, Q. M. J., & Zhang, H.
- Venue
- Journal of Intelligent & Fuzzy Systems
- Publisher
- SAGE Publications
- Published
- 2015
- Volume
- 28
- Issue
- 2
- Pages
- 961-973
- ISSN
- 1064-1246 (ISSN-L)
- OpenAlex
- W2170410701
- Cited by
- 450
- References
- 1
- FWCI
- 100.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zheng, Y., Jeon, B., Xu, D., Wu, Q. M. J., & Zhang, H. (2015). Image segmentation by generalized hierarchical fuzzy C-means algorithm. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/ifs-141378
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
