Traitement Image
- Teaching method : Hybride
- Code : N8EN11A
In brief
Objectives
1) Introduction to main image processing: image enhancement and restoration, edge detection and segmentation in order to give the student an overview of the existing classical techniques.
2) Guided discovery of segmentation approaches with practical work: from the most classical approaches, such as mean shift, to the most recent approaches based on superpixels.
Targeted skills
1) Discover the classical image processing techniques: edge detection, image enhancement, segmentation
2) To understand deeply these techniques through practical work and projects
Bibliography
1) W. K. Pratt. Digital image processing. Wiley-Interscience Publication, New-York, États-Unis, 1978.
2) R. Horaud and O. Monga. Vision par ordinateur, outils fondamentaux. Traité des nouvelles technologies, série Informatique. Hermès, Paris, France, 1993.
Session 1 ou session unique - Contrôle des connaissances
| Modalité | Nature | Coefficient | Remarques |
|---|---|---|---|
| CT (contrôle terminal) | Oral/Ecrit | 50% | Examen Traitement d'Image |
| CT (contrôle terminal) | Projet | 50% | Projet traitement d'Image |
Session 2 - Contrôle des connaissances
| Modalité | Nature | Coefficient | Remarques |
|---|---|---|---|
| CT (contrôle terminal) | Oral/Ecrit | 50% | Examen Traitement d'Image |
| CT (contrôle terminal) | Projet | 50% | Projet traitement d'Image |
Places
- Toulouse
