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DC Field | Value | Language |
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dc.contributor.author | BELBACHIR, Nassim | - |
dc.contributor.author | BELHARIZI, Mohammed | - |
dc.date.accessioned | 2024-02-21T12:54:38Z | - |
dc.date.available | 2024-02-21T12:54:38Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | https://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=1990 | en_US |
dc.identifier.uri | http://dspace.univ-temouchent.edu.dz/handle/123456789/2523 | - |
dc.description.abstract | There are various image segmentation algorithms, as appropriate to solve. But each method has its advantages and defects. In our work, we use a cooperative approach, so only use the benefits of different methods. Indeed, we take advantage of a segmentation method, combined with an algorithm that takes into account local characteristics of the image. We operate a segmentation based on the k-means algorithm and the method of watershed | en_US |
dc.subject | Retina, Ophthalmology, Angiography of fundus, Segmentation | en_US |
dc.title | Méthode coopérative de segmentation (LPE+ K-MEANS) de l'arbre vasculaire oculaire | en_US |
Appears in Collections: | Electronique |
Files in This Item:
File | Description | Size | Format | |
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Méthode coopérative de segmentation (LPE+ K-MEANS) de l'arbre vasculaire oculaire.pdf | 6,13 MB | Adobe PDF | View/Open |
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