Please use this identifier to cite or link to this item: http://dspace.univ-temouchent.edu.dz/handle/123456789/2523
Title: Méthode coopérative de segmentation (LPE+ K-MEANS) de l'arbre vasculaire oculaire
Authors: BELBACHIR, Nassim
BELHARIZI, Mohammed
Keywords: Retina, Ophthalmology, Angiography of fundus, Segmentation
Issue Date: 2016
Citation: https://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=1990
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
URI: http://dspace.univ-temouchent.edu.dz/handle/123456789/2523
Appears in Collections:Electronique

Files in This Item:
File Description SizeFormat 
Méthode coopérative de segmentation (LPE+ K-MEANS) de l'arbre vasculaire oculaire.pdf6,13 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.