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ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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ACM SIGGRAPH 2003 Papers
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ACM Transactions on Graphics (TOG)
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Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Mason: morphological simplification
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Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
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MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
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Given a planar set S of arbitrary topology and a radius r, we show how to construct an r-tightening of S, which is a set whose boundary has a radius of curvature everywhere greater than or equal to r and which only differs from S in a morphologically-defined tolerance zone we call the mortar. The mortar consists of the thin or highly curved parts of S, such as corners, gaps, and small connected components, while the boundary of a tightening consists of minimum-length loops through the mortar. Tightenings are defined independently of shape representation, and it may be possible to find them using a variety of algorithms. We describe how to approximately compute tightenings for sets represented as binary images using constrained, level-set curvature flow.