Tensor voting for image correction by global and local intensity alignment
This paper presents a voting method to perform image correction by global and local intensity alignment. The key to our modeless approach is the estimation of global and local replacement functions by reducing the complex estimation problem to the robust 2D tensor voting in the corresponding voting...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 27(2005), 1 vom: 10. Jan., Seite 36-50 |
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| Format: | Article |
| Langue: | English |
| Publié: |
2005
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study |