| Titre : | Parallel implementation of Kohonen maps for color image clustering |
| Auteurs : | Mr:Djelloul Mokadem, Directeur de thèse ; Ababou abdelkader, Auteur |
| Type de document : | texte imprimé |
| Editeur : | Algèrie:unv saida-Dr Moulay Tahar, 2018 |
| Format : | 79p. / Figure et tableaux / 29 cm |
| Note générale : | Bibliogaraphie |
| Langues: | Français |
| Catégories : | |
| Mots-clés: | Self-Organizing Map,neural networks , Color images segmen- tation , Parallel learning algorithms , Data Mining , Image clustering . |
| Résumé : |
Artificial neural networks (ANN) represent a universal model, which can be leveraged to solve a great variety of tasks. The latest research showed a significant progress of this field in the past few decades. After the paral- lel hardware became available for reasonable prices, it fueled the research of efficient optimization of ANN by leveraging parallel architectures. In this thesis , We present parallel implementation of Kohonens Self-Organizing Map (SOM) neural network for segmentation of color images.The efficiency of the implemented confirmed by the results of the performed tests. |
| Note de contenu : |
1-Introduction 2-Background 3-Theory 4-Implementation and Testing 5-Conclusion |
Exemplaires (1)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| TECT06003 | T.I.MS00529 | 1 | Ouvrages | 27 | Libre accès Disponible |
