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A Unifying View of Contour Length Bias Correction
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Christina Pavlopoulou and Stella X. Yu
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International Symposium on Visual Computing, Las Vegas, Nevada, 30 Nov-2 Dec 2009
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Paper
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Slides
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Abstract
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Original active contour formulations may becomeill-posed especially for boundaries characterized by prominent features. Attempts to yield well-posed formulations lead to bias towards short contours. We provide a framework to unify existing bias correcting energy methods and propose a novel local bias correcting scheme similar to non-maximum suppression. Our method can be seen as an approximation of a well-known algorithm that transforms a graph with positive and negative weights to a graph with only positive weights while preserving the shortest paths among the nodes.
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Keywords
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active contour, intelligent scissors, length bias, shortest path
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