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Heat Kernel Smoothing in Irregular Image Domains
October 21, 2017 · Declared Dead · 🏛 arXiv.org
"No code URL or promise found in abstract"
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Authors
Moo K. Chung, Yanli Wang, Gurong Wu
arXiv ID
1710.07849
Category
stat.ME
Cross-listed
cs.CV,
eess.IV,
stat.CO
Citations
11
Venue
arXiv.org
Last Checked
1 month ago
Abstract
We present the discrete version of heat kernel smoothing on graph data structure. The method is used to smooth data in an irregularly shaped domains in 3D images. New statistical properties are derived. As an application, we show how to filter out data in the lung blood vessel trees obtained from computed tomography. The method can be further used in representing the complex vessel trees parametrically and extracting the skeleton representation of the trees.
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