Sub-Markov Random Walk for Image Segmentation
A novel sub-Markov random walk (subRW) algorithm with label prior is proposed for seeded image segmentation, which can be interpreted as a traditional random walker on a graph with added auxiliary nodes. Under this explanation, we unify the proposed subRW and other popular random walk (RW) algorithm...
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 2 vom: 28. Feb., Seite 516-27 |
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Auteur principal: | |
Autres auteurs: | , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2016
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Sujets: | Journal Article Research Support, Non-U.S. Gov't |
Accès en ligne |
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