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Segmentation d'images couleur par partitions de Voronoï Color Image Segmentation by Voronoi Partitions
| Content Provider | Semantic Scholar |
|---|---|
| Author | Arbeláez, Pablo Cohen, Laurent D. |
| Copyright Year | 2004 |
| Abstract | and key words We address the issue of low-level segmentation of color images. The proposed approach is based on the formulation of the problem as a generalized Voronoi partition of the image domain. In this context, a segmentation is determined by the definition of a distance between points of the image and the selection of a set of sites. The distance is defined by considering the low-level attributes of the image and, particularly, the color information. We divide the segmentation task in three successive sub-tasks, treated in the framework of Voronoi partitions : pre-segmentation, hierarchical representation and contour extraction. Image processing, image modelling, color segmentation, contour extraction, Voronoi partition and diagram, ultrametrics, mathematical morphology. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.ceremade.dauphine.fr/~cohen/mypapers/PabloTS05final.pdf |
| Alternate Webpage(s) | http://www.cs.berkeley.edu/~arbelaez/publications/Arbelaez-Cohen_TS2004.pdf |
| Alternate Webpage(s) | https://biomedicalcomputervision.uniandes.edu.co/images/webpage/publications/Arbelaez-Cohen_TS2004.pdf |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/2425/03%20Arbelaez.pdf;jsessionid=22E0A952F2C813ACD6BCDB98FBC74EFE?sequence=3 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
