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DAGM
2006
Springer

A Probabilistic Multi-phase Model for Variational Image Segmentation

14 years 4 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability based image segmentation. By interpreting the phase fields as probabilities of pixels belonging to a certain phase, we obtain the model formulation by maximizing the mutual information between image features and the phase fields. For optimizing the model, we derive the Euler Lagrange equations and present their efficient implementation by using a narrow band scheme. We present experimental results on segmenting synthetic, medical and natural images.
Thomas Pock, Horst Bischof
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DAGM
Authors Thomas Pock, Horst Bischof
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