| Titre : | design and implementation of a content based image retrieval system |
| Auteurs : | Mostefai abdelkader, Directeur de thèse ; Bellil youcef, Auteur ; Rihani khaled, Auteur |
| Type de document : | texte imprimé |
| Editeur : | univ DR taher moulay saida, 2022-2023 |
| ISBN/ISSN/EAN : | TECT03069 |
| Format : | 67 p / ill / 29cm |
| Langues: | Français |
| Résumé : |
The primary objective of this thesis is to examine the
primary methods used in the field of content-based image retrieval (CBIR) and to develop an application that utilizes this knowledge. Our particular interest lies in color and texture features. To create the application, we chose color histograms for color features and co-occurrene matrix for texture features. Here, features are extracted from specific QI(Query Image). Accordingly, an innovative similarity evaluation with a metaheuristic algorithm has been attained between the QI features and those belonging to the database images. For an image entered as QI from a database, the distance metrics are used to search the related images ,The proposed CBIR techniques are described and constructed based on RGB space and histogram for color features , and gray-level co-occurrence matrix to extract texture features. Furthermore, the results’ precision–recall value is calculated to evaluate the system’s efficiency. |
| Note de contenu : |
Chapter1: General Information on Image Processing
Chapter2: Content-Based Image Retrieval Systems Chapter3: Image Descriptors and Similarity Measures Chapter4: The Proposed Method Chapter5: Experimental Study |
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Documents numériques (1)
design and implementation of a content based image retrieval system Adobe Acrobat PDF |
