| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560515 |
| ISSN: | 1405-5546 |
| Autores: | Gammoudi, Islem2 Mahjoub, Mohamed Ali1 Guerdelli, Fethi3 |
| Instituciones: | 1Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, Sousse. Túnez 2Université de Tunis El Manar, Faculté des Sciences Mathématiques Physiques et Naturelles de Tunis, El Manar, Tunis. Túnez 3Higher Colleges of Technologies Dubai Men College, Dubai. Emiratos Árabes Unidos |
| Año: | 2020 |
| Periodo: | Jul-Sep |
| Volumen: | 24 |
| Número: | 3 |
| Paginación: | 969-987 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | Image Segmentation by Graph Partitioning is the subject of several research areas, recently, in the field of artificial intelligence and computer vision. In this context, we use graphs as models of images or representations, then we apply a criterion or methodology to divide it into sub-graphs where a graph section consists on systematically removing the edges to generate two sub-graphs. In this paper, we present Several image segmentation algorithms formulated from the graph partition. We test our algorithms on the dataset BRATS and standard test image Lenna. Our result are promising. |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Procesamiento de datos |
| Keyword: | Image segmentation, Graph partitioning, Dataset (BRATS), Data processing |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
