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dc.contributor.authorBELBACHIR, Nassim-
dc.contributor.authorBELHARIZI, Mohammed-
dc.date.accessioned2024-02-21T12:54:38Z-
dc.date.available2024-02-21T12:54:38Z-
dc.date.issued2016-
dc.identifier.citationhttps://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=1990en_US
dc.identifier.urihttp://dspace.univ-temouchent.edu.dz/handle/123456789/2523-
dc.description.abstractThere 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 watersheden_US
dc.subjectRetina, Ophthalmology, Angiography of fundus, Segmentationen_US
dc.titleMéthode coopérative de segmentation (LPE+ K-MEANS) de l'arbre vasculaire oculaireen_US
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