Unsupervised Multiphase Segmentation: A Phase Balancing Model

Berta Sandberg

doi:10.1109/TIP.2009.2032310

Unsupervised Multiphase Segmentation: A Phase Balancing Model

2010-01-01

27

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DOI：10.1109/TIP.2009.2032310

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Variational models have been studied for image segmentation application since the Mumford-Shah functional was introduced in the late 1980s. In this paper, we focus on multiphase segmentation with a new regularization term that yields an unsupervised segmentation model. We propose a functional that automatically chooses a favorable number of phases as it segments the image. The primary driving force of the segmentation is the intensity fitting term while a phase scale measure complements the regularization term. We propose a fast, yet simple, brute-force numerical algorithm and present experimental results showing the robustness and stability of the proposed model.

Keyword:

Cheeger Set

image segmentation

multiphase

scale

variational model

Unsupervised Multiphase Segmentation: A Phase Balancing Model

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