Learning to detect natural image boundaries using local brightness, color, and texture cues
The goal of this work is to accurately detect and localize boundaries in natural scenes using local image measurements. We formulate features that respond to characteristic changes in brightness, color, and texture associated with natural boundaries. In order to combine the information from these fe...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 26(2004), 5 vom: 27. Mai, Seite 530-49 |
|---|---|
| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article |
| Langue: | English |
| Publié: |
2004
|
| 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 Research Support, U.S. Gov't, Non-P.H.S. Validation Study |