Book
Image Smoothing and Segmentation by Graph Regularization.
| Title: | Image Smoothing and Segmentation by Graph Regularization. |
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| Authors: | Bebis, George, Boyle, Richard, Koracin, Darko, Parvin, Bahram, Bougleux, Sébastien, Elmoataz, Abderrahim |
| Source: | Advances in Visual Computing; 2005, p745-752, 8p |
| Abstract: | We propose a discrete regularization framework on weighted graphs of arbitrary topology, which leads to a family of nonlinear filters, such as the bilateral filter or the TV digital filter. This framework, which minimizes a loss function plus a regularization term, is parameterized by a weight function defined as a similarity measure. It is applicable to several problems in image processing, data analysis and classification. We apply this framework to the image smoothing and segmentation problems. [ABSTRACT FROM AUTHOR] |
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| DOI: | 10.1007/11595755_95 |
| Database: | Supplemental Index |
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