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State-of-the-art snake methods for object segmentation fail in the presence of strong clutter. Here, we present a dynamic programming (DP) setup to combat strong clutter. Our solution maximizes a score function known as gradient inverse coefficient of variation (GICOV). GICOV cannot be directly used in DP, because it does not have an additive form. We derive a set of DP-friendly necessary conditions...
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