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Joint graph cut and relative fuzzy connectedness image segmentation algorithm
We introduce an image segmentation algorithm, called [Formula: see text] , which combines, in novel manner, the strengths of two popular algorithms: Relative Fuzzy Connectedness (RFC) and (standard) Graph Cut (GC). We show, both theoretically and experimentally, that [Formula: see text] preserves ro...
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| Glavni autori: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2013
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3893121/ https://ncbi.nlm.nih.gov/pubmed/23880374 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2013.06.006 |
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