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- W53472089 abstract "We present a novel method that uses shape skeletons, and associated quantities, for feature-preserving smoothing of digital (black-and-white) binary shapes. We preserve, or smooth out, features based on a saliency measure that relates feature size to local object size, both computed using the shape’s skeleton. Low-saliency convex features (cusps) are smoothed out, and low-saliency concave features (dents) are filled in, respectively, by inflating simplified versions of the shape’s foreground and background skeletons. The method is simple to implement, works in real time, and robustly removes large-scale contour and binary speckle noise while preserving salient features. We demonstrate the method with several examples on datasets from the shape analysis application domain." @default.
- W53472089 created "2016-06-24" @default.
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- W53472089 date "2012-01-01" @default.
- W53472089 modified "2023-10-18" @default.
- W53472089 title "Feature Preserving Smoothing of Shapes Using Saliency Skeletons" @default.
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- W53472089 doi "https://doi.org/10.1007/978-3-642-21608-4_9" @default.
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