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Tracking monotonically advancing boundaries in image sequences using graph cuts and recursive kernel shape priors
We introduce a probabilistic computer vision technique to track monotonically advancing boundaries of objects within image sequences. Our method incorporates a novel technique for including statistical prior shape information into graph-cut based segmentation, with the aid of a majorization-minimiza...
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| Publicat a: | IEEE Trans Med Imaging |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5510452/ https://ncbi.nlm.nih.gov/pubmed/22156978 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2011.2178122 |
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