| Titre : | Unsupervised Color image segmentation : a case of RGB Histogram and FCM Algorithm |
| Auteurs : | Imene Baghdad Benabed, Auteur ; Rochdi Bachir Bouiadjra, Directeur de thèse |
| Type de document : | texte manuscrit |
| Editeur : | Université mustapha stambouli de Mascara:Faculté des sciences exactes, 2022 |
| ISBN/ISSN/EAN : | SE02213T |
| Format : | 42P. / couv. ill. / 29cm. |
| Accompagnement : | disque optique numérique (CD-ROM) |
| Langues: | Anglais |
| Résumé : |
The objective of our end-of-study project is to find a suitable solution for the clustering segmentation problem in image processing. We have proposed a technique to determine the number of clusters which represent the main problem of Segmentation. The proposed technique first determines the gradient change of distinct peaks of the RGB channel intensity. Next, the intensity values of RGB histograms are scanned and the highest peak intensity values are selected within the neighboring intensity ranges for each color channel. Then we used one of the widly used Algorithms in Data processing wichi s Fuzzy C-means Algorithm. Our project was implemented by MATLAB software, which is considered as one of the most used software in image processing. Finally, we hope that we have achieved the target set with the concern of doing a better job well in the future. |
Exemplaires (1)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| SE02213T | INF644 | Livre audio | Bibliothèque des Sciences Exactes | 7-Mémoires Master | Consultation sur place Exclu du prêt |
Aucun avis, veuillez vous identifier pour ajouter le vôtre !
Accueil
