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DC Field | Value | Language |
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dc.contributor.advisor | NASRI, NADJIB | - |
dc.contributor.author | HADJADJ, AHMED ADNAN | - |
dc.contributor.author | ATAOUAT, ABDELMALEK | - |
dc.date.accessioned | 2022-05-30T08:06:45Z | - |
dc.date.available | 2022-05-30T08:06:45Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://dspace.univ-ouargla.dz/jspui/handle/123456789/29245 | - |
dc.description.abstract | Ce mémoire s'inscrit dans le domaine du traitement d'images, qui est l'un des domaines les plus étudiés depuis l'émergence du traitement des données, l'objectif principal de ce mémoire est d'étudier les algorithmes flous de segmentation d'images, et à partir de là nous avons abordé l'algorithme FCM, que nous avons trouvé simple d'utilisation mais toujours sujet au bruit. | en_US |
dc.description.abstract | This thesis falls within the field of image processing, this field, which is considered one of the most studied fields since the emergence of data processing, the main objective of this thesis is to study the blurry algorithms for image segmentation, and from here we touched upon the FCM algorithm, which we found easy to use but still subject to noise. | - |
dc.language.iso | fr | en_US |
dc.publisher | UNIVERSITE KASDI MERBAH OUARGLA | en_US |
dc.subject | Image analysis, | en_US |
dc.subject | FCM algorithm | en_US |
dc.subject | image segmentation | en_US |
dc.subject | MRI and histograms | en_US |
dc.title | SEGMENTATION PAR METHOD HYBRIDE (FCM ET SEUILLAGE PAR HISTOGRAMME) | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Département d'Electronique et des Télécommunications - Master |
Files in This Item:
File | Description | Size | Format | |
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mémoire final.pdf | Système embarqué | 2,13 MB | Adobe PDF | View/Open |
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