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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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Detalhes bibliográficos
Publicado no:IEEE Trans Med Imaging
Main Authors: Chang, Joshua, Brennan, KC, Chou, Tom
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
Assuntos:
Acesso em linha: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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