Fast and robust fuzzy \(c\)-means clustering algorithms incorporating local information for image segmentation
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Publication:856439
DOI10.1016/j.patcog.2006.07.011zbMath1118.68133OpenAlexW1992147426MaRDI QIDQ856439
Weiling Cai, Dao-Qiang Zhang, Song-can Chen
Publication date: 7 December 2006
Published in: Pattern Recognition (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.patcog.2006.07.011
robustnessimage segmentationenhanced fuzzy \(c\)-means clusteringfast clusteringfuzzy \(c\)-means clustering (FCM)gray constraintsspatial constraints
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Uses Software
Cites Work
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- L\({}_ 1\)-norm based fuzzy clustering
- Towards a robust fuzzy clustering.
- Alternative c-means clustering algorithms
- An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
- A generic fuzzy rule based image segmentation algorithm
- Robust Statistics
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